ENHANCED SELF-ORGANIZED MAP (ESOM) FOR BRAIN TUMOR SEGMENTATION

Abstract

Data mining is an amazing method for mining valuable patterns or data from image and text-based data sets. Medical data mining is vital field as it has significant utility in healthcare domain in reality. In the medical field, the techniques of Data mining hold a significant stand. Larger part of which is adopted viably. Brain tumor is a dangerous disease which produces problems like brain harm, loss of memory and it very well may be indicated as a deformed mass of tissue wherein the cells duplicate suddenly and ceaselessly, that is there is no power over the development of the cells. The primary thought of this review paper is to introduce an outline about brain tumor detection system and different data mining methodEnhanced self-organized map (ESOM)used in this System and successfully utilized for brain tumor detection and avoidance at a beginning phase. This paper additionally gives a critical assessment of the literature reviewed, which reveals new facets of.