Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality

BACKGROUND: Prostate magnetic resonance imaging (MRI) is technically demanding, requiring high image quality to reach its full diagnostic potential. An automated method to identify diagnostically inadequate images could help optimize image quality. PURPOSE: To develop a convolutional neural networks...

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Detalles Bibliográficos
Autores principales: Cipollari, Stefano, Guarrasi, Valerio, Pecoraro, Martina, Bicchetti, Marco, Messina, Emanuele, Farina, Lorenzo, Paci, Paola, Catalano, Carlo, Panebianco, Valeria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291235/
https://www.ncbi.nlm.nih.gov/pubmed/34374181
http://dx.doi.org/10.1002/jmri.27879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291235/
https://www.ncbi.nlm.nih.gov/pubmed/34374181
http://dx.doi.org/10.1002/jmri.27879

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