A Survey on Advance Approach For Brain Tumor Detection and Classification using Segmentation

image processing

Brain tumor is an abnormal and excessive growth in the brain. It can be categorized as benign and malignant. Benign tumor stays localized and does not spread elsewhere in the body and can be cured by surgical removal. The malignant tumors spread to other organs and tissues. Both the benign and malignant tumors are hazardous to the patients and may lead to death. Image creation of the human body (or parts thereof) for clinical application is referred as medical imaging. A medical imaging technique used primarily in radiology to image the anatomy and functioning of the body is known as MRI (Magnetic Resonance Imaging). Hence an efficient method for tumor segmentation should clearly use a reliable tool where the MRI scan can be used as an accurate technique for detecting tumor from human brain. Main objective of these dissertation is design efficient architecture for base on segmentation and classification base concept.using segmentation base on color shape and texture identify

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.