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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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Publicat a:Sci Rep
Autors principals: Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2018
Matèries:
Accés en línia: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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