• VINAY PRASAD TAMTA

A tumor also called neoplasm is an abnormal growth of tissues. That can be distinguished from the surrounding fabric for its construction. The image of the magnetic resonance generates a better contrast indicating the regular and irregular tissues. The tumor is an uncontrolled development of tissues in any region of the body. A tumor can cause the leading cause of death and is responsible for around 16% of all deaths worldwide. Detection and segmentation of brain tumors is a very difficult task in MRI. In-depth knowledge and experience in radiology are mandatory for the precise detection of tumors in medical images. Automation of tumor detection is necessary because there may be a deficit of experienced radiologists at a time of great need. The tumor is an uncontrolled growth of tissues in any region of the body. Detection of tumors in the early stages facilitates treatment. Here, we discuss an abbreviated review of the different segmentation methods used for the detection of magnetic resonance tumors (MRI) of the brain.

Brain Tumor, Image Segmentation, Magnetic Resonance Imaging.

"Image Processing Techniques for Brain Tumor Detection: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.913-918, December 2017, Available :http://www.jetir.org/papers/JETIR1907888.pdf

"Image Processing Techniques for Brain Tumor Detection: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp913-918, December 2017, Available at : http://www.jetir.org/papers/JETIR1907888.pdf