Modern Advancement in Brain Swelling Segmentation and Classification using DNN

Brain tumor is a deadlier disease with more fatality rate than the survival rate. Nowadays, with the advent of technology, it is becoming desirable to perform automated computer-based brain tumor image analysis. The two most important tasks covered in literature for brain tumor analysis are tumor segmentation and tumor classification. Deep learning approaches are gaining popularity because of their self-feature learning capability. The review aims to provide an introduction to recent works that use deep learning methodologies for brain tumor analysis. The manuscript first describes the problems in computer vision for brain tumor segmentation. Then, the recent cutting-edge works are discussed for segmenting brain tumor along with its prediction.