A Novel Approach for Detection of Skin Cancer Using Neural Network

Skin cancers are the most common form of cancers in humans. It is a deadly type of cancer. Most of the skin cancers are cure able at initial stages. So an premature detection of skin is possible. The automatic diagnosis can help to increase the accuracy of detection. The diagnosing methodology uses Image processing techniques and Artificial Intelligence. Automated image segmentation and classification of skin lesions as malignant or benign. The dermoscopy image of skin cancer is taken and it is subjected to pre-processing for noise removal and image enhancement. Then the image is undergone image segmentation using Thresholding. There are certain features unique for skin cancer regions. Such features are extracted. These features are given as the input nodes to the neural network. Back-Propagation Neural (BPN) Network is used for classification purpose. It classifies the given data set into cancerous or non-cancerous.