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An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies
Automated Gleason grading is an important preliminary step for quantitative histopathological feature extraction. Different from the traditional task of classifying small pre-selected homogeneous regions, semantic segmentation provides pixel-wise Gleason predictions across an entire slide. Deep lear...
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| 出版年: | Comput Med Imaging Graph |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6173982/ https://ncbi.nlm.nih.gov/pubmed/30243216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compmedimag.2018.08.003 |
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