Comparative study of tumor detection algorithms

Image segmentation has become an area of boundless possibilities to explore as the advances in research field in this domain are gaining momentum. One of the most crucial implementation of this field is brain tumor segmentation and detection; as the manual segmentation of the tumors by doctors is a time consuming & risky task. Brain tumor segmentation is a crucial step in surgical planning and treatment planning. In image processing, we use the implementation of simple algorithms for detection of range and shape of tumor in brain MR images. This paper presents a comparative study of different approaches for segmenting brain tumor from MRI images.