Enhanced Diagnostic Methods for Identifying Anomalies in Imaging of Skin Lesions

There are several types of skin diseases, to protect and keep them healthy from these ailments; an effective efficient diagnosis is required. One the domains used by medical experts diagnose severe class disease imaging. It non-invasive way in which screen abnormal region performs first then dermatologist examines subcutaneous structure forecasts severity lesion. lesions cancer, categorized as melanoma non-melanoma. Most research has been performed on yet non-melanoma cancer still untouched area. The cure rate high, when diagnosed at earlier stage. proposed approach applicable gray scale or single channel images resultant output binary images, this can be compared easily with available mask benchmark dataset. In addition this, APCNN proposal minimizes requirement post processing step for lesion boundary detection.