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Review Paper | Computer Science and Engineering | Volume 15 Issue 6, June 2026 | Pages: 1246 - 1249 | India
Brain Tumor Detection and MRI Images Classification Using Advance Deep Learning: Advancements, Difficulties, and Clinical Deployment
Abstract: A brain tumor is one of the most cancerous diseases in the world, which can be identified on time and significantly treated using magnetic resonance imaging. In the last few years, deep learning models have provided the expected performance in automatically detecting and classifying brain tumors from MRI scans, repeatedly attaining accuracies more than 95% on measurable point datasets. But so many of these strategies fail when utilized in real-time clinical environments because of deviations in the quality of the image, differences in scanners, and limited numbers of resources in several healthcare environments. This review aims to give substantial enhancements in deep learning for brain tumor detection and classification during 2025 and 2026. It includes a number of methods covering traditional hybrid classifiers, convolutional neural networks (CNNs), and explainable AI, which utilizes techniques like GRAD-CAM to make more transparent decisions. Special concentration is provided to difficulties like low performance on various datasets and low-resource data (e.g., BraTS-Africa), the requirement of effective models appropriate for deployments, and establishing clinical trust via enhanced interpretability. After carefully analyzing the latest findings, this paper discovers alternative drawbacks in generalization, cost of computation, and its practical application. This paper advises a promising way, such as adaptive learning and integrated explainable technologies, to assist in more reliable and acquirable brain tumor identification in real-world scenarios.
Keywords: Brain tumor detection, Magnetic Resonance Imaging (MRI), Deep Learning, Explainable AI, Convolutional Neural Network (CNN), Domain generalization, GRAD-CAM, clinical translation, BrsTS-Africa
How to Cite?: Vikas Kumar Singh, "Brain Tumor Detection and MRI Images Classification Using Advance Deep Learning: Advancements, Difficulties, and Clinical Deployment", Volume 15 Issue 6, June 2026, International Journal of Science and Research (IJSR), Pages: 1246-1249, https://www.ijsr.net/getabstract.php?paperid=SR26623145517, DOI: https://dx.doi.org/10.21275/SR26623145517