A Novel Approach for Identification of Brain Tumour Type in MRI Images using AI Techniques

Abstract: The main intention of this research is to develop an automated approach that identifies the type of brain Tumour from MRI images of various patients using image processing Techniques. Brain Tumour is a solemn issue that, if not identified at right time and treated in a right way, can lead to impediments, and sometimes require surgery or lead to deaths. Whenever early stage tumours or malignant tumours raise, they can trigger the increase in density within the skull. This may be one of the major reasons for brain damage, and sometimes cause life-threatening. Right treatment and right diagnostics at the right time should be carried out to save the lives. One best technique to discover brain Tumours is Magnetic Resonance Imaging (MRI). This helps in using image processing and AI techniques in detecting Brain Tumour type accurately which helps the oncologist to treat the Tumour efficiently. It has the inclination to yield correct results by implementing on various methods and data sets. By using appropriate image processing and AI techniques on CO-LAB, this work is carried out to identify the type of Tumours like Pituitary Tumour, Glioma Tumour, Meningioma Tumour and no Tumour.