A validation study of our previously developed algorithm for prostate cancer detection using an independent patient cohort who went through radical prostatectomy and compared with genitourinary radiologists under the same setting.
We proposed a multi-class CNN to jointly detect prostate cancer lesions and characterizes their histopathological aggressiveness by fully utilizing distinctive knowledge from multi-parametric MRI.