Early Skin Disease Identification Using eep Neural Network

Skin lesions detection and classification is a prominent issue difficult even for extremely skilled dermatologists pathologists. disease the most common disorder triggered by fungus, viruses, bacteria, allergies, etc. diseases are dangerous may be cause of serious damage. Therefore, it requires to diagnose at an earlier stage, but diagnosis therapy itself complex needs advanced laser photonic therapy. This advance involves financial burden some other ill effects. must use artificial intelligence techniques detect accurately stage. Several have been proposed skin stage fail get accuracy. primary goal this paper classify, provide accurate information about diseases. deals with same proposing high-performance Convolution neural network (CNN) classify The complete methodology explained in different folds: firstly, images pre-processed processing techniques, secondly, important feature extracted. Thirdly, analyzed stages using Deep Neural Network (DCNN). approach simple, fast, shows results up 98% used six types.