Computer aided diagnosis of prostate cancer

In the US, prostate cancer (PC) is the cancer which strikes males the most frequently. In this study, we review prostate cancer detection and diagnosis approaches utilising Computer-assisted diagnosis (CAD) and multipara-metric magnetic resonance imaging (MP-MRI). We cover the most widely used mainstream methods of segmentation along with a list of them. completing the registration process extracting characteristics from, and classifying images AUC, abbreviation area under the receiver operating characteristic curves has been employed to compare the performances of 15 advanced prostate CAD systems. In this work, we explore obstacles and potential strategies for prostate CAD research. In order to make prostate CAD systems usable in clinical use, more improvements should be researched into.