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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6351532/
https://ncbi.nlm.nih.gov/pubmed/30696866
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-37257-4
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