Objective. Automatic segmentation of prostatic zones from MRI can boost medical diagnosis of prostate cancer as lesions while in the peripheral zone (PZ) and central gland (CG) exhibit distinctive qualities. current approaches are restricted in their accuracy in localizing the edges of PZ and CG. The proposed boundary-conscious semantic clustering … Read More