Machine learning applications in prostate cancer magnetic resonance imaging

With this review, we aimed to provide a synopsis of recently proposed applications of machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI). After defining the difference between ML and classical rule-based algorithms and the distinction among supervised, unsupervi...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Eur Radiol Exp
Главные авторы: Cuocolo, Renato, Cipullo, Maria Brunella, Stanzione, Arnaldo, Ugga, Lorenzo, Romeo, Valeria, Radice, Leonardo, Brunetti, Arturo, Imbriaco, Massimo
Формат: Artigo
Язык:Inglês
Опубликовано: Springer International Publishing 2019
Предметы:
Narrative Review
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6686027/
https://ncbi.nlm.nih.gov/pubmed/31392526
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-019-0109-2
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы