Advanced Detection of Brain Disease using ML and DL Algorithm

In today’s scenario, several brain and neurological disorders are being discovered and the complexity of structure of brain varies with age. The early diagnosis of these diseases is of utmost importance. so, the segmentation process of Magnetic resonance imaging is done to obtain maximum accuracy. Precise segmentation of the magnetic resonance imaging image is required for the diagnosing the brain tumor using laptop-based clinical requirement. Using each of the segmentation strategies, which method is best for segmenting the tumor can be identified from each of the images. This work proposes an advanced machine learning and deep learning based predictive method to forecast malignant and benign tumor. This is an effective and simple model for the detection and classification of brain tumor.