Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm

Morphometric analysis of nuclei is crucial in cytological examinations. Unfortunately, nuclei segmentation presents many challenges because they usually create complex clusters in cytological samples. To deal with this problem, we are proposing an approach, which combines convolutional neural networ...

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Detalles Bibliográficos
Autores principales: Kowal, Marek, Żejmo, Michał, Skobel, Marcin, Korbicz, Józef, Monczak, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064474/
https://www.ncbi.nlm.nih.gov/pubmed/31161430
http://dx.doi.org/10.1007/s10278-019-00200-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064474/
https://www.ncbi.nlm.nih.gov/pubmed/31161430
http://dx.doi.org/10.1007/s10278-019-00200-8

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