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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 a 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, s.~1447-1451. ISBN~978-1-4799-2374-8. Dostupné z: https://dx.doi.org/10.1109/ISBI.2015.7164149.
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