"Artificial Neural Network based Classification of Brain Tumor from MRI using FCM and Bounding Box Method"

Meghana N, Dr Rekha K R
2015 International Journal of Engineering Research and  
Brain tumor segmentation consists of separating the different tumor tissues or active tumor, from normal brain tisssues.The detection of edema is done simultaneously with tumor segmentation, as the knowledge of the extent of edema is important for diagnosis, planning and treatment. Magnetic resonance image technique (MRI) is used in medical diagnosis.MRI Scanners uses magnetic fields to form images of brain tumor for its detection. Accurate analysis for location and size of tumor is
more » ... CM and bounding box based segmentation of brain images is prescribed. Bounding box is a fast segmentation technique that includes symmetry to enclose a tumours or edema by a bounding box within an axial brain MR image.segmented tumor is classified using Artificial neural network training
doi:10.17577/ijertv4is051084 fatcat:rgumbjmyhnewnjkksa436rodpy