Review and Evaluation of existing deep learning methods for Brain Tumor Detection

When it comes to medical image processing, segmenting brain tumors is an essential task. Patients' chances of survival are increased and treatment options are improved when brain tumors are detected early. It requires a great deal of time and work to manually separate brain tumors from the many MRI pictures obtained during clinical routines in order to diagnose malignancy. Automatic brain tumor segmentation of images is required. This study summarizes methods for segmenting brain tumors using magnetic resonance imaging (MRI). Automatic segmentation using deep learning approaches has been increasingly popular as of late.