Prostate Cancer Detection System Based on MR Images
Prostate cancer is a male disease with high morbidity and mortality,and its clinical diagnosis mainly uses magnetic resonance(MR)imaging.In view of the characteristics of small size,blurred contour and limited data acquisition of prostate cancer lesions,self-supervised learning network was introduced to optimize the detection method,and a prostate cancer detection system based on MR Images was designed and implemented with the application of Python and MySQL,which provided help for the auxiliary detection of prostate cancer.
万方数据
维普
