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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Detalles Bibliográficos
Autores principales: Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/
https://www.ncbi.nlm.nih.gov/pubmed/30104757
http://dx.doi.org/10.1038/s41598-018-30535-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089889/
https://www.ncbi.nlm.nih.gov/pubmed/30104757
http://dx.doi.org/10.1038/s41598-018-30535-1

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