Učitavanje...

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

Noninvasive, radiological image-based detection and stratification of Gleason patterns can impact clinical outcomes, treatment selection, and the determination of disease status at diagnosis without subjecting patients to surgical biopsies. We present machine learning-based automatic classification...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:Proc Natl Acad Sci U S A
Glavni autori: Fehr, Duc, Veeraraghavan, Harini, Wibmer, Andreas, Gondo, Tatsuo, Matsumoto, Kazuhiro, Vargas, Herbert Alberto, Sala, Evis, Hricak, Hedvig, Deasy, Joseph O.
Format: Artigo
Jezik:Inglês
Izdano: National Academy of Sciences 2015
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4655555/
https://ncbi.nlm.nih.gov/pubmed/26578786
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1505935112
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!