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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351532/ https://www.ncbi.nlm.nih.gov/pubmed/30696866 http://dx.doi.org/10.1038/s41598-018-37257-4 |