A review on feature extraction techniques for tumor detection and classification from brain MRI

In medical fields, the detection of brain abnormalities is a very important and crucial task. Medical image processing provides basic information of abnormality of brain and it helps the doctor for best treatment planning. Image processing technique used for brain tumor detection contains several steps. The steps include Pre-processing, Segmentation, Feature Extraction, and Classification. In this survey various techniques for feature extraction are reviewed. More than fifteen research papers discussing classification and feature extraction techniques used in image processing for brain tumor detection are clearly reviewed.