Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI
European Radiology
October 2020
The purpose of this study was to develop an automatic method for the identification and segmentation of clinically significant prostate cancer in low-risk patients and evaluate this performance in a routine clinical setting. The authors discovered that the proposed deep learning computer-aided method showed promising results in the previously-mentioned identification and segmentation of clinically significant prostate cancer in patients on