Classification and segmentation of brain magnetic resonance images based on intelligent hilbert huang transform

Abstract

Tumor can be deemed as an uncontrolled growth of cancer cells in any part of the body Tumors are of different types with different characteristics calling for different treatments In earlier period Brain tumor is a leading cause of death among the peoples It is extremely difficult for the physicians to find out the abnormality of the patients by diagnosing with the symptoms related to the brain tumor At present brain tumors are classified as primary brain tumors and metastatic brain tumors The primary brain tumors originate and stay in the brain whereas metastatic brain tumors originate in any part of the body and scatter over to the brain. Magnetic Resonance Image MRI is a medical imaging technique which is widely used in radiology to investigate the anatomy and physiology of the human body MRI scanners use magnetic fields and radio waves to create images of the human body The goal of the research is to improvise and change the representation of an image into something that is more meaningful and easier to analyze and diagnose by the physician newline