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...

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Detalles Bibliográficos
Autores principales: Cuocolo, Renato, Cipullo, Maria Brunella, Stanzione, Arnaldo, Ugga, Lorenzo, Romeo, Valeria, Radice, Leonardo, Brunetti, Arturo, Imbriaco, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Narrative Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686027/
https://www.ncbi.nlm.nih.gov/pubmed/31392526
http://dx.doi.org/10.1186/s41747-019-0109-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686027/
https://www.ncbi.nlm.nih.gov/pubmed/31392526
http://dx.doi.org/10.1186/s41747-019-0109-2

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