A Comparative Study of Fuzzy Logic with Artificial Neural Network Techniques in Cancer Detection

Now a day�s artificial intelligence has been playing an important role in the research community of bio-medical engineering. In this paper I presented an comparative study of computer-aided diagnosis for medical image segmentation and edge detection using Neural Network & Fuzzy logic. This idea is presented with case study of skin cancer detection using Artificial Neural Network & Fuzzy Logic. The processed image is then registered for analysis. The aims of increasing awareness of how Neural Networks or Fuzzy Logic can be applied to these areas will help to find the disease affected area prominently can be achieve using pre-processing and post-processing . Diseases can be detected in its early-state and can be cured saving many lives.