Main Article Content
Brain tumor segmentation aims to separate the different tumor tissues such as active cells, necrotic core, and edema from normal brain tissues of White Matter (WM), Gray Matter (GM), and Cerebrospinal Fluid (CSF). MRI based brain tumor segmentation studies are attracting more and more attention in recent years due to non-invasive imaging and good soft tissue contrast of Magnetic Resonance Imaging (MRI) images. With the development of almost two decades, the innovative approaches applying computer-aided techniques for segmenting brain tumo rare becoming more and more mature and coming closer to routine clinical applications. The purpose of this paper is to provide a comprehensive overview of MRI-based brain tumor segmentation methods.
How to Cite
, S. K. N. K. (2018). A Survey of Brain Tumour Segmentation Methods- A Review. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(5), 92–96. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1652