Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{177611,
        author = {Rajamaina Kavya sri and Duggimpudi Mary Archana and Nemala Shravani and Dr.Dheeraj Sundaragiri},
        title = {Brain Tumor Detection Using YOLOv3 and Darknet-53},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1120-1127},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177611},
        abstract = {Detection of brain tumors using artificial intelligence has developed as a powerful tool in the field of medical diagnosis and offers potential breakthroughs in terms of accuracy, speed and accessibility. This study uses Yolov3’s recognition algorithm to attack a deep learning-based approach for automated identification of brain tumors (once Furthermore, the system classifies tumor severity based on the size of the perceived region compared to brain images, further improving clinical benefits. Comparative experiments show excellent performance by achieving 95.2%, 93.8% accuracy and 94.1% F1 score accuracy, while simultaneously maintaining real-time processing capabilities. These results highlight the efficiency and adaptability of systems on CNNbased systems in biomedical imaging analysis. They are also investigating the possibility of providing systems on edge devices to support remote diagnostics. Overall, this work contributes to bridge the gap between AI innovation and practical use in healthcare. provides a scalable, interpretable and accurate brain tumor detection system. Keywords: brain tumor detection, Yolov3, darknet-53, deep learning, medical image analysis, realtime detection, folding neural network, severity classification.},
        keywords = {Brain Tumor Detection, YOLOv3, Darknet-53,Deep Learning, Medical Image Processing, MRI Analysis},
        month = {May},
        }