SVM Based Brain Tumor Detection and Classification System

The brain is the most significant organ in the body since it controls and regulates all vital bodily activities, and a tumour is a bulk of tissue created by the growth of aberrant cells over time. A brain tumour is a tumour that has either grown or moved into the brain. To yet, no root cause has been found for the development of brain tumours. Malignant brain tumours have a relatively high death rate because they grow in the most important organ of the body, the brain, even though they are not particularly prevalent (1.8% of all recorded malignancies worldwide are brain tumours). Therefore, to reduce mortality, it is crucial to precisely identify brain tumours in their early stages. For the management of brain tumour diagnosis, we have presented a computer-assisted radiology system that will evaluate brain cancers from MRI scans. In this paper, we developed a model that accurately identifies tumours using SVM after segmenting pictures with the Watershed and PSO algorithms, DWT and PCA methods, and feature extraction.