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@inproceedings{1230987,
author = {Stoklasa, Roman and Bálek, Lukáš and Krejčí, Pavel and Matula, Petr},
address = {Neuveden},
booktitle = {Proceedings of 2015 IEEE International Symposium on Biomedical Imaging, 2015.},
doi = {http://dx.doi.org/10.1109/ISBI.2015.7164149},
keywords = {phase-contrast microscopy; segmentation; classification; superpixel; cells},
howpublished = {paměťový nosič},
language = {eng},
location = {Neuveden},
isbn = {978-1-4799-2374-8},
pages = {1447-1451},
publisher = {Engineering in Medicine and Biology Society},
title = {Automated Cell Segmentation in Phase-Contrast Images based on Classification and Region Growing},
url = {https://ieeexplore.ieee.org/document/7164149},
year = {2015}
}
TY - JOUR
ID - 1230987
AU - Stoklasa, Roman - Bálek, Lukáš - Krejčí, Pavel - Matula, Petr
PY - 2015
TI - Automated Cell Segmentation in Phase-Contrast Images based on Classification and Region Growing
PB - Engineering in Medicine and Biology Society
CY - Neuveden
SN - 9781479923748
KW - phase-contrast microscopy
KW - segmentation
KW - classification
KW - superpixel
KW - cells
UR - https://ieeexplore.ieee.org/document/7164149
L2 - https://ieeexplore.ieee.org/document/7164149
N2 - 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 with a 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.
ER -
STOKLASA, Roman, Lukáš BÁLEK, Pavel KREJČÍ and Petr MATULA. Automated Cell Segmentation in Phase-Contrast Images based on Classification and Region Growing. In \textit{Proceedings of 2015 IEEE International Symposium on Biomedical Imaging, 2015.}. Neuveden: Engineering in Medicine and Biology Society, 2015, p.~1447-1451. ISBN~978-1-4799-2374-8. Available from: https://dx.doi.org/10.1109/ISBI.2015.7164149.
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