Open AccessA Review on Some Classification Methods of Brain Tumor MRI Datasets
Author(s) -
Nirmal Mungale,
Snehal G. Kene,
Amol Chaudhary
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062114
Subject(s) - brain tumor , brain disease , magnetic resonance imaging , identification (biology) , medicine , neuroimaging , computer science , pathology , disease , radiology , neuroscience , psychology , biology , botany
Brain tumor is a life-threatening disease. Brain tumor is formed by the abnormal growth of cells inside and around the brain. Identification of the size and type of tumor is necessary for deciding the course of treatment of the patient. Magnetic Resonance Imaging (MRI) is one of the methods for detection of tumor in the brain. The classification of MR Images is a difficult task due to variety and complexity of brain tumors. Various classification techniques have been identified for brain MRI tumor images. This paper reviews some of these recent classification techniques.