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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Vydáno v:Sci Rep
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2019
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Article
On-line přístup: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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