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Brain tumour is an abnormal growth caused by cells reproducing themselves in an uncontrolled manner. Curing cancer has been a major goal of medical researchers for decades. The early detection of cancer can be helpful in curing the disease completely.An Artificial neural network-based approach to identify brain tumour from MRI images can help in quicker more efficient detection. The main objective of the project is to help identify and classify brain tumours by training an Artificial Neural Network on MRI scans of various tumour free brains as well as brains with tumours to allow the system to learn how to classify unseen MRI This paper describes the strategy to detect & extraction of brain tumour from patientâ€™s MRI scan images of the brain. This method uses some noise removal functions, segmentation and morphological operations from the basic concepts of image processing. The process of tumour detection and elicitation of the tumour from the image is done using MATLAB.
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