Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Given the importance of gland morphology in grading prostate cancer (PCa), automatically differentiating between epithelium and other tissues is an important prerequisite for the development of automated methods for detecting PCa. We propose a new deep learning method to segment epithelial tissue in...

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Detalles Bibliográficos
Autores principales: Bulten, Wouter, Bándi, Péter, Hoven, Jeffrey, Loo, Rob van de, Lotz, Johannes, Weiss, Nick, Laak, Jeroen van der, Ginneken, Bram van, Hulsbergen-van de Kaa, Christina, Litjens, Geert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351532/
https://www.ncbi.nlm.nih.gov/pubmed/30696866
http://dx.doi.org/10.1038/s41598-018-37257-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351532/
https://www.ncbi.nlm.nih.gov/pubmed/30696866
http://dx.doi.org/10.1038/s41598-018-37257-4

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