A survey on Brain Tumor Classification and Segmentation using MR Images

In today’s world, image processing plays a vital role in all medical applications. In particular, image segmentation and classification of a brain tumor is one of the most challenging areas. Previously, manual tumor segmentation and classification for MRI images was time consuming and often resulted in errors. After segmentation of tumor it is necessary to classify the tumor either benign or moderated or malignant stage. Now, automatic segmentation of brain tumors focuses on achieving more accurate results. This work analyzes various classification and segmentation methodologies.