CANCER DETECTION METHODOLOGY USING FUZZY BASED CLASSIFICATION TECHNIQUES

Extracting knowledge and patterns for the diagnosis and treatment of disease from the medical database becomes more important to promote the development of telemedicine and community medicine. Data mining is a process of extracting hidden knowledge from large volumes of data. It is used intensively in the field of medicine to predict diseases such as heart diseases, lung cancer, breast cancer and more. Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain; such patterns are utilized for medical diagnosis. Medical images play an important role in assisting diagnosis and treatment of healthcare management systems. The advancements and large volumes of medical image data become major challenges. In this paper, a novel fuzzy-based classification method is performed to select the features of the cancer images. This research work mainly focuses on selecting the prominent features to improve the accuracy of the classification algorithms.