Machine learning applications in prostate cancer magnetic resonance imaging

Machine learning applications in prostate cancer magnetic resonance imaging

Abstract 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,...

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Bibliographic Details
Main Authors: Renato Cuocolo, Maria Brunella Cipullo, Arnaldo Stanzione, Lorenzo Ugga, Valeria Romeo, Leonardo Radice, Arturo Brunetti, Massimo Imbriaco
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:European Radiology Experimental
Subjects:
Machine learning
Magnetic resonance imaging
Prostate
Prostatic neoplasms
Radiomics
Online Access:http://link.springer.com/article/10.1186/s41747-019-0109-2

Internet

http://link.springer.com/article/10.1186/s41747-019-0109-2

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