Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 Lesions

The Prostate Imaging Reporting and Data System (PI-RADS) classification is based on a scale of values from 1 to 5. The value is assigned according to the probability that a finding is a malignant tumor (prostate carcinoma) and is calculated by evaluating the signal behavior in morphological, diffusi...

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Detalles Bibliográficos
Autores principales: Gravina, Michela, Spirito, Lorenzo, Celentano, Giuseppe, Capece, Marco, Creta, Massimiliano, Califano, Gianluigi, Collà Ruvolo, Claudia, Morra, Simone, Imbriaco, Massimo, Di Bello, Francesco, Sciuto, Antonio, Cuocolo, Renato, Napolitano, Luigi, La Rocca, Roberto, Mirone, Vincenzo, Sansone, Carlo, Longo, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323238/
https://www.ncbi.nlm.nih.gov/pubmed/35885471
http://dx.doi.org/10.3390/diagnostics12071565

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323238/
https://www.ncbi.nlm.nih.gov/pubmed/35885471
http://dx.doi.org/10.3390/diagnostics12071565

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