Abstract: Skin cancers are the most common form of cancers in humans. An early detection of skin cancer can save the patients. Computer based skin cancer detection is most advantageous to patients, by which patients can detect the skin cancer without going to hospital or without using the help of a doctor. Computer based detection uses Image Processing and the Artificial Intelligence techniques. The various stages of detection involves collection of dermoscopic images, filtering the images for removing hair and noises, segmenting the images using method of Maximum Entropy Threshold, feature extraction using the Gray Level Co-occurrence Matrix, and classification done using Artificial Neural Network.
Keywords: Skin cancer, Image Segmentation, Feature Extraction, Artificial Neural Network.