Detection of Skin Cancer using Artificial Neural Network Classifier

Abstract

Skin cancer is a harm full disease in humans. It has various types such as melanoma, basal and squamous cell carcinoma among which melanoma is the most unpredictable. It causes abnormal growth of melanocytic cells which produces sun productive pigment melanin. Due to the melanin melanoma appear as black or brown color. In this paper we present a novel approach of detection of melanoma .This melanoma detection can using medical imaging in ANN( Artificial Neural Network) method. The dermoscopy images are extracted from 2D wavelet transformation method ,then values are given to as input nodes to the neural network. It classifies the data set into cancerous or non-cancerous.