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...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:Sci Rep
Glavni autori: 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
Jezik:Inglês
Izdano: Nature Publishing Group UK 2018
Teme:
Article
Online pristup: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
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items