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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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Dettagli Bibliografici
Pubblicato in:Sci Rep
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2019
Soggetti:
Accesso online: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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