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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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| Gepubliceerd in: | Comput Med Imaging Graph |
|---|---|
| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| Onderwerpen: | |
| Online toegang: | 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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