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BRAIN TUMOR DETECTION USING METHOD OF SEGMENTATION BASED ON SOFT COMPUTING

Vishal Paramane, Lalita Admuthe, Vinayak Sutar

This study gives a new approach to computer aided detection (CAD) scheme for brain tumor detection and its classification. In the study, large number of MRI images with various types of tumors was selected and examined. The proposed CAD system consist of following steps: 1) MRI image pre-processing; 2) ROI (Region Of Interest) selection; 3) Brain skull edge detection; 4) Tumor Segmentation; 5)Classification of tumor stage. In this study, we have used localised segmentation method for tumor feature extraction and Back Propagation Neural (BPN) Network with Levenberg-Marquardt (LM) algorithm for tumor classification