Skin cancer detection and classification using Wavelet Transform and Probabilistic Neural Network

In this paper, we focus on the development of a skin cancer screening system that can be used in a general practice by non-experts to classify normal from abnormal cases. The development process consists of feature detection and classification technique. For feature detection, Discrete Wavelet Transform is used which detect features of an input image. The output of feature detection system becomes input to the classification system. The classification method is based on the application of Probabilistic Neural Network