Review of Segmentation and Classification Techniques in Computer-Aided Detection of Brain Tumor from MRI

An accurate detection of brain tumors from brain magnetic resonance imaging (MRI) scan is a challenging task for a specialist neurologist. Due to different factors such as disturbances due to image acquisition and lack of expert knowledge the manual analysis of MRI scan is challenging. Therefore, the computer-aided detection of brain tumors from MRI scans has been widely used. This paper presents different types of brain tumors prevalent nowadays and the future advancement of computer-aided detection of MRI scans. A survey of medical image processing for MRI scan along with its advantages and disadvantages are summarized.