Image-based Automated Detection of First-episode Schizophrenia: The Importance of Spatial Resolution of Morphological Features and Ensemble Learning

DLUHOŠ, Petr, Daniel SCHWARZ and Tomáš KAŠPÁREK. Image-based Automated Detection of First-episode Schizophrenia: The Importance of Spatial Resolution of Morphological Features and Ensemble Learning. In 4th Biennial Schizophrenia International Research Conference, Florence, Italy. 2014. ISSN 0920-9964. Available from: https://dx.doi.org/10.1016/S0920-9964(14)70882-5.

Basic information

Original name

Image-based Automated Detection of First-episode Schizophrenia: The Importance of Spatial Resolution of Morphological Features and Ensemble Learning

Authors

DLUHOŠ, Petr, Daniel SCHWARZ and Tomáš KAŠPÁREK

Edition

4th Biennial Schizophrenia International Research Conference, Florence, Italy, 2014

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Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

30000 3. Medical and Health Sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.923

Organization unit

Faculty of Medicine

ISSN

DOI

http://dx.doi.org/10.1016/S0920-9964(14)70882-5

Tags

International impact, Reviewed

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Links

NT13359, research and development project	Name: Pokročilé metody rozpoznávání MR obrazů mozku pro podporu diagnostiky neuropsychiatrických poruch Investor: Ministry of Health of the CR
NT13437, research and development project	Name: Mozeček, kognitivní dysfunkce a mechanismy kontroly pohybu a odhadu času u dystonie a schizofrenie.