Deep Learning-based System for Brain Tumor Detection and Localization on MRI Scans: A Systematic Review

Abstract

Magnetic Resonance Imaging (MRI) has become a cornerstone in the analysis of brain structures and the detection oftumors, offering detailed images of soft tissues. However, the variability in tumor size and shape poses a significantchallenge for radiologists in accurately identifying and classifying these abnormalities. To address this, researchershave leveraged recent advancements in brain tumor detection using machine learning and deep learning techniques,while also exploring the availability of public datasets and the challenges associated with this field. The objective ofthis study is to review the existing work done in this field and identify the challenges to guide future research effortstoward developing effective decision support systems that improve the diagnostic accuracy of radiologists.