A STUDY ON CLASSIFICATION AND DETECTION OF BRAIN TUMOR TECHNIQUES (original) (raw)

Medical image analysis is the most challenging and emerging field in today's world, among which brain tumor classification and detection is most serious and devastating types of cancer. Brain tumor classification is one of the typical causes in diagnosing the tumor at early stage. Even if numerous tumor classification and detection methods have been presented, enhanced tumor classification and detection is still challenging because brain tumor images exhibit high diversity in tumor appearance and boundaries. Classification and detection of brain tumors uses sundry imaging techniques like computed tomography (CT or CAT scan) and magnetic resonance imaging (MRI). Magnetic Resonance Spectroscopy (MRS) to examine the tumor's chemical profile, Positron Emission Tomography (PET scan). This paper review the various methods of brain tumor classification and detection in imaging techniques and overview of digital image processing techniques that are required for the research purpose are discussed.