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