An novel approach for segmentation using brain images
Venugopal Ulagamuthalvi, Govindarajan Kulanthaivel · 2016
There are so many methods used for segmenting the human brain images. The physician are following the invasive method to identify cancer which gives more painful to the patients. CT (computer tomography) scan, MRI (medical reasoning imaging) and CAD (computer aided design) are helpful to analyzing the abnormalities of different parts. For example the Tumor cells, cancer cells and the fractures in the different parts are examined but the accuracy is unpredictable. In this system, a Normalized cut segmentation techniques is used for segmenting medical brain images and then Region Classification algorithm is used in order to isolate the abnormal and normal regions in the medical brain images which is entirely independent and has the capability to separate various kinds of abnormalities. Finally, the abnormal stage is detected for each brain image by staging process.