ŠTĚPKA, Karel, Martin MAŠKA, Jakub Jozef PÁLENIK, Vendula POSPÍCHALOVÁ, Anna KOTRBOVÁ, Ladislav ILKOVICS, Dobromila KLEMOVÁ, Aleš HAMPL, Vítězslav BRYJA and Pavel MATULA. Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy. In Gang Hua, Hervé Jégou. Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I. Cham, Switzerland: Springer International Publishing. p. 318-325. ISBN 978-3-319-46603-3. doi:10.1007/978-3-319-46604-0_23. 2016.
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Basic information
Original name Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy
Authors ŠTĚPKA, Karel (203 Czech Republic, belonging to the institution), Martin MAŠKA (203 Czech Republic, belonging to the institution), Jakub Jozef PÁLENIK (703 Slovakia, belonging to the institution), Vendula POSPÍCHALOVÁ (203 Czech Republic, belonging to the institution), Anna KOTRBOVÁ (203 Czech Republic), Ladislav ILKOVICS (203 Czech Republic, belonging to the institution), Dobromila KLEMOVÁ (203 Czech Republic, belonging to the institution), Aleš HAMPL (203 Czech Republic, belonging to the institution), Vítězslav BRYJA (203 Czech Republic, belonging to the institution) and Pavel MATULA (203 Czech Republic, belonging to the institution).
Edition Cham, Switzerland, Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I, p. 318-325, 8 pp. 2016.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW http://dx.doi.org/10.1007/978-3-319-46604-0_23
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/16:00091584
Organization unit Faculty of Informatics
ISBN 978-3-319-46603-3
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-46604-0_23
Keywords in English Exosome; Detection; Segmentation; Transmission electron microscopy; Image processing
Tags cbia-web
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Martin Maška, Ph.D., učo 60734. Changed: 7/4/2017 17:57.
Abstract
We presented a morphological method for automatic detection and segmentation of exosomes in transmission electron microscopy images. The exosome segmentation was carried out using morphological seeded watershed on gradient magnitude image, with the seeds established by applying a series of hysteresis thresholdings, followed by morphological filtering and cluster splitting. We tested the method on a diverse image data set, yielding the detection performance of slightly over 80 %.
Links
MUNI/A/0945/2015, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A
MUNI/M/1050/2013, interní kód MUName: Automatizovaná analýza elektronmikroskopických snímků pro použití v biologii a medicíně (Acronym: Analýza TEM snímků)
Investor: Masaryk University, INTERDISCIPLINARY - Interdisciplinary research projects
PrintDisplayed: 18/4/2024 13:12