Brain Tumor Classification and Identification Using PSO and Multi ANFIS

In Recent developments, fast computer-aided diagnostic system (CAD) are used to diagnose various diseases. Brain tumors are unwanted tissues present in brain. Traditionally, tumors are detected by radiologists and classified by doctors by doing biopsy which is really time-consuming and potentially harmful to patient’s health. This delayed treatment causes unfortunatelly death of a patient in early stage for the pateint treatment ant the solution. This system aim is to detect and classify tumor as early as possible with the help of image processing, SWARM intelligence, and ANFIS. Image processing contains preprocessing, segmentation, feature extraction. In SWARM intelligence, PSO method is best to select optimum features. ANFIS are used to detect the type of tumor. Many techniques are present to detect tumor, but accuracy is not 100 percent. This system is designed to enhance detection accuracy significcantly.