Brain tumour segmentation based on SFCM using back propagation neural network

Abstract

Magnetic Resonance image (MRI) is predominant in clinical application. MRI used in diagnostic and therapeutic applications and it is pain free treatment. Blur boundaries in high resolution medical resonance image, the tumour segmentation and classification is very hard. In identification method brain tumour is used to upgrade the accuracy and reduce the analysis time. The tumour tissues classified into four they are normal, begin, premalignant and malignant. In MR images, the amount of data is high to explain and analysis. In current years, segmentation of tumour in magnetic resonance image has essential in research field of clinical imaging. Exact shape, size and location of tumour can diagnose. The diagnostic method contain four stages, pre-processing, feature extraction, classification and segmentation.