aim. computerized segmentation of prostatic zones from MRI can make improvements to scientific diagnosis of prostate most cancers as lesions while in the peripheral zone (PZ) and central gland (CG) show various attributes. Existing techniques are minimal inside their precision in localizing the perimeters of PZ and CG. The proposed boundary-informe