Convolution Neural Network Classifier for Skin Disease Detection

Volume : VIII, Issue : V, May - 2018

Ms. Seema Kolkur, Dr. D. R. Kalbande, Dr. Vidya Kharkar

Skin Diseases are becoming very common now days. Number of people suffering from skin diseases is increasing rapidly.

Human judgment on diagnosis of skin diseases is sometimes subjective and not reproducible. To achieve more reliable

and objective accuracy computer aided diagnosis may be used. Skin disease detection is basically an image classification task. Recently deep

learning is used in many image classification tasks. We used Convolution Neural Network (CNN) as a classifier. The results indicate CNN can be

feasibly used for skin disease detection. The main advantage of CNN is that we don‘t need to hand craft features from images, but it learns features

on its own.