Course Information

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 40 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 40 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Assessment methods

Performing practical tasks related to biomedical image analysis. Programming in C/C++ or Matlab. To obtain credits, finished work (data processed or a functional program) and its presentation on a seminar are required.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)

Guaranteed by

prof. RNDr. Václav Matyáš, M.Sc., Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://www.fi.muni.cz/lom/

PV163 Biomedical Image Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)

Guaranteed by

prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Timetable

Wed 8:00–9:50 B411

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/lom/

PV163 Image Processing Project

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)

Guaranteed by

prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Timetable

Wed 8:00–9:50 B311

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/lom/

PV163 Biomedical Image Project

The course is not taught in Spring 2024

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught in person.

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Pavel Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2023

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught in person.

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Pavel Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2022

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught in person.

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Pavel Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2021

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Pavel Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2020

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Pavel Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2019

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2018

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2017

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2016

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2015

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2014

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV163 Biomedical Image Project

The course is not taught in Spring 2013

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of biomedical image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

• Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

• Articles published in scientific journals and conference proceedings according to the specification of project supervisor.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

English

Follow-Up Courses

• PV187 Seminar of Digital Image Processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

• Enrolment Statistics (recent)