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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Bibliografische gegevens
Gepubliceerd in:Sci Rep
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group UK 2019
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Article
Online toegang: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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