A Brain Tumor Takes Up Space Within The Skull And Can Interfere With Normal Brain Activity. It Can Increase Pressure In The Brain, Shift The Brain Or Push It Against The Skull, And/or Invade And Damage Nerves And Healthy Brain Tissue. Since Brain Diseases Are Dynamic And Evolutionary In Nature, Their Detection, Treatment Will Also Progress Based On The Dynamic Nature Of The Disease. Therefore, The Image Processing Technique Must Also Progress In A Direction Of Finding Cancer As Early As Possible. The Screening Techniques In Cancer Detection Must Be Reliable, Robust And Must Have High Level Of Diagnostic Value. For This Purpose, Right From The Image Acquisition To The Detection Of Cancer, An Effective Work Is Defined Enough To Identify The Real Indicators Of Cancer Nodules. For This Purpose, The Work Is About To Present A Regression Model Based On A Decent Sample Size Of Subject’s Brain Images. In This, The Tumor Detection Is Performed Using The Clustered Genetic Approach. The Clustering Is Basically Used To Reduce The Data Size On Which The Process Will Be Performed And The Genetic Will Perform The Error Reduction And The Tumor Area Segmentation.
