A SURVEY ON DIFFERENT METHODS FOR BRAIN TUMOR DETECTION

Abstract

The International Agency for Research on Cancer (IARC) reports that 76% of deaths are attributable to brain tumours. To prevent any potentially deadly circumstances, it is necessary to identify brain tumours as soon as possible and to give the patient the necessary therapy. Thanks to recent technological advancements, a computer-aided design can now automatically identify tumours from image graphs, including Magnetic Resonance Imaging (MRI). The use of machine learning (ML) techniques has grown in importance among medical researchers. This review examines brain tumour classifications methods and provides comparisons between their outcomes. The difficulties that researchers have had in the past while attempting to identify tumours have been explored, as well as the potential directions that they may choose to pursue in their future study.