• Shruti Dwivedi

Abstract: Study of brain tumor detection and segmentation the MRI Images is very useful in recent years. With the help of MRI Images we can detect the brain tumor. In the recent time, processing of medical images is a developing and important field. It includes many different types of imaging methods. Some of them are Computed Tomography scans (CT scans), X-rays and Magnetic Resonance Imaging (MRI) etc. The several technologies allow us to detect even the smallest defects in the human body. Detection of brain tumor by the help of unusual growth of tissues and blocks of blood in nervous system can be seen in an MRI Images. Now a day image processing plays an important role in medical field and medical imaging is a growing and challenging field. Many people suffer from brain tumor; it is a serious and dangerous disease. Medical imaging provides proper diagnosis of brain tumor. In the present time period many techniques to detect brain tumor from MRI images. These methods face challenges like finding the location and size of the tumor. Image segmentation is used to detect the tumor from the brain is most important and difficult part. Already, various algorithms are developed for image segmentation. In this review paper we cover the basic terminologies of brain tumor and MRI images, review of various brain tumor segmentation techniques. The Brain Tumor is affecting many people worldwide. It is not only limited with the old age people but also detected in the early age.

Keywords - Brain Tumor, Image Processing, X-Ray, Pre-Processing, Segmentation, Feature Extraction, MRI (Magnetic Resonance Imaging), C.T. Scan Images.

"Review on brain tumor detection using image segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.246-252, August-2020, Available :http://www.jetir.org/papers/JETIR2008336.pdf

"Review on brain tumor detection using image segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp246-252, August-2020, Available at : http://www.jetir.org/papers/JETIR2008336.pdf