T2-weighted imaging-based deep-learning method for noninvasive prostate cancer detection and Gleason grade prediction: a multicenter study

ConclusionThrough multicenter dataset validation, our proposed deep-learning method could detect prostate cancer and predict the Gleason grade better than human experts.Critical relevance statementPrecise prostate cancer detection and Gleason grade prediction have great significance for clinical treatment and decision making.Key PointsProstate segmentation is easier to annotate than prostate cancer lesions for radiologists.Our deep-learning method detected prostate cancer and predicted the Gleason grade, outperforming human experts.Non-invasive Gleason grade prediction can reduce the number of unnecessary biopsies.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research