World Journal of Engineering Research and Technology

Jyotsana Tripathi* and Apoorva Chaudhary

ABSTRACT

Treatment of cancer has been a major research work that has been going on for several years. Early diagnosis of the tumour has been proven to be useful in treating it. Cerebral cancer is becoming common across the world. An artificial neuron model to segment tumour from Magnetic resonance images (MRI) may be of great help based in fast and effective diagnosis. The process involves use of image processing techniques like Pre- Processing, Segmentation techniques, feature extraction and classification of the image. A Classification of brain is done into Healthy and Tumorous brain. The Objective the proposed project is to help classify the brain by training the Artificial Neural Network (ANN) by inputting MRI images of Tumour free brain and Tumour infected brain to get the system to classify them. This paper describes the previous techniques used for segmentation of MRI images and their drawbacks and talks about the proposed work on how to detect and segment the tumour from the MRI image of the brain. The process includes noise removal and enhancement of the image, segmentation techniques and morphological operations. The whole process of tumour detection and elicitation of the tumour from the image is done using MATLAB.

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