Cell Detection Methods for the Images from Holograpic Microscope

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124351" target="_blank" >RIV/00216305:26220/17:PU124351 - isvavai.cz</a>
Result on the web
<a href="http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf" target="_blank" >http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Cell Detection Methods for the Images from Holograpic Microscope
Original language description
Microscopical cell image analysis is widely used for cell behavior and morphology study. In dense cell cultures precise detection (separation) of a single cell is challenging task and it is important step for automatic cell analysis methods. There are a variety of methods, but most of them are less accurate for non-circular cells. This paper describes the common approaches for cell detection applied on images from holographic microscope. Linear discriminant analysis is used for combining results of these methods to obtain new more precise and robust approach.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 23rd Conference STUDENT EEICT 2017
ISBN
978-80-214-5496-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
334-338
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních
Place of publication
Brno
Event location
Brno
Event date
Apr 27, 2017
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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