Automated Cell Segmentation in Phase-Contrast Images based on Classification and Region Growing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00082559" target="_blank" >RIV/00216224:14330/15:00082559 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ISBI.2015.7164149" target="_blank" >http://dx.doi.org/10.1109/ISBI.2015.7164149</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI.2015.7164149" target="_blank" >10.1109/ISBI.2015.7164149</a>
Alternative languages
Result language
angličtina
Original language name
Automated Cell Segmentation in Phase-Contrast Images based on Classification and Region Growing
Original language description
Cell segmentation in phase-contrast microscopy images remains a challenging problem because of the large variability in subcellular structures and imaging artifacts. In this paper, we present an approach to the automatic segmentation of tightly packed cells in phase-contrast images. We combine the classification of superpixels with the region-growing method to locate cell membrane boundaries. We demonstrate that such a combined approach is able to perform the task of cell detection and segmentation witha high level of precision. On the presented dataset, we achieved 90% precision with 78% recall. The results indicate that this method is suitable for real biological applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2015 IEEE International Symposium on Biomedical Imaging, 2015.
ISBN
9781479923748
ISSN
1945-7928
e-ISSN
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Number of pages
5
Pages from-to
1447-1451
Publisher name
Engineering in Medicine and Biology Society
Place of publication
Neuveden
Event location
Brooklyn, NY
Event date
Apr 16, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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