抽象的

Artificial Neural Network Based Detection of Skin Cancer

Dr. J. Abdul Jaleel, Sibi Salim, Aswin.R.B

Skin cancers are the most common form of cancers in humans. It is a deadly type of cancer. Most of the skin cancers are cureable at initial stages. So an early detection of skin cancer can save the patients. With the advancement of technology, early detection of skin cancer is possible. One such technology is the early detection of skin cancer using Artificial Neural Network. The diagnosing methodology uses Image processing techniques and Artificial Intelligence. The dermoscopy image of skin cancer is taken and it is subjected to various 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 using feature extraction technique - 2D Wavelet Transform method. 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.