A Systematic Review on the Existing CNN-based Techniques for Detection and Classification of Brain Tumor in MRI Images (2020-2025)

Automated brain tumor detection and classification of magnetic resonance images is a challenging task. One of the most widely used method in the recent years for these tasks include deep learning-based techniques particularly, CNNs-based techniques which have emerged as powerful method for handling complex biomedical data. The main objective of this study is to carry out a systematic and comprehensive review along with their critical analysis of the studies that have used deep CNN-based techniques for brain tumor detection and classification in MRI images in the past six years 2020 and 2025. A rigorous search of databases including PubMed, ScienceDirect, Google Scholar, and IEEE Access and other databases identified 310 articles, from which 50 articles with high quality were selected for analysis. The key findings of this study presented by charts, graphs, and tables to facilitate a better understanding of the effectiveness of CNN-based techniques in brain tumor detection and classification for future researchers..