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Automated Gleason grading of prostate cancer tissue microarrays via deep learning
The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires highly-trained pathologists, is tedious and yet suffers from limited inter-pathologist reproducibility, especially for the intermediate Gleason score...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6089889/ https://ncbi.nlm.nih.gov/pubmed/30104757 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-30535-1 |
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