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

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.To develop a convolutional neural networks (CNNs) based analysis pipeline for the classification of prostate MRI image quality.Retrospective.Three hundred sixteen prostate mpMRI scans and 312 men (median age 67).A...