COMPUTER AIDED DIAGNOSTIC SYSTEM FOR BRAIN TUMORDETECTION USING K-MEANS CLUSTERING

Medical informatics researchers have started believing, that the ultimate aim of “computeraided diagnosis” (CAD) and it should be advances as time is progressing and it must assist to make clinical decision support. The concept called image processing is at very attractive technique for advancement of human perception. Large interest in image processing methods stems from two principal applications: improvement of pictorial information for interpretation of human and processing of image data for storage, transmission and representation for autonomous algorithms. This method can be applied for analysis of images in a large number of domains. In modern world influence of and impact of digital images is very high, and now a days image processing has becomecritical technology is today’s world. CAD systems are very much useful for facilitating lesion detection and characterization of images, and it is accomplish by enhancing the medical practitioners capabilities and considerable reduction in time, accurate diagnosis and treatment is also made fast and possible