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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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| Pubblicato in: | Sci Rep |
|---|---|
| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2019
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| 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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