Evaluating Very Deep Convolutional Neural Networks for Nucleus Segmentation from Brightfield Cell Microscopy Images

Advances in microscopy have increased output data volumes, and powerful image analysis methods are required to match. In particular, finding and characterizing nuclei from microscopy images, a core cytometry task, remains difficult to automate. While deep learning models have given encouraging resul...

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Detalles Bibliográficos
Autores principales: Ali, Mohammed A. S., Misko, Oleg, Salumaa, Sten-Oliver, Papkov, Mikhail, Palo, Kaupo, Fishman, Dmytro, Parts, Leopold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458686/
https://www.ncbi.nlm.nih.gov/pubmed/34167359
http://dx.doi.org/10.1177/24725552211023214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458686/
https://www.ncbi.nlm.nih.gov/pubmed/34167359
http://dx.doi.org/10.1177/24725552211023214

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