Early Detection of Cancer using Soft Computing

Cancer is one of the most frequent cause of death for both men and women. The early detection of cancer is very essential to provide the timely treatment so that the probability of curing the disease increases. The pain and toxicity can be minimized if the disease is found in initial stages. Medical image mining refers to the application in data mining techniques on medical image data. The main goal of medical image mining is to extract clinically relevant information from the medical images to assist the physicians in accurate diagnosis and detection of diseases. Soft computing is a consortium of methodologies that provides flexible information processing capability. Soft computing techniques such as fuzzy sets, neural networks, genetic algorithms, and rough sets are most widely applied for Cancer image mining. This paper presents the early detection of Cancer based on image mining using soft computing techniques. Hence the related issues can be resolved suitably using most efficient soft computing based image mining techniques.