Abstract
Magnetic resonance imaging (MRI) is one of the most important medical diagnosis methods in the field of computer-aided detection of medical images. The MRI images help to find the presence of abnormal cells or tissues, referred as tumors. Prior to classification, preprocessing of MRI images is performed. These preprocessing operations help to reduce undesired distortions and select only relevant features for further analysis, making the classification technique more accurate and efficient. In this paper, we present various image classification techniques used over MRI images and their performance.