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@article{170690,
        author = {Karthik Manda and B. Sai Durga Jahnavi and Ch.Deeskha and B. Arun and Dr. M. V. A. Naidu},
        title = {Enhanced Brain Tumor Detection Using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {154-161},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170690},
        abstract = {Brain tumors are among the most critical conditions affecting the human brain, where early and accurate detection is essential for effective treatment. Magnetic Resonance Imaging (MRI) is widely recognized for its ability to produce detailed brain tissue images. However, detection and segmentation of brain tumors manually from MRI scans is a time-consuming and error-prone task, which can delay diagnosis and treatment. This project proposes a deep learning-based approach for the detection of brain tumors in MRI images automatically. By leveraging advanced convolutional neural networks (CNNs), the system is designed to accurately identify brain tumors and generate precise bounding boxes, improving the speed and reliability of tumor detection. This automated approach aims to enhance diagnostic accuracy, reduce human error, and expedite the overall process, potentially improving outcomes for patients with brain tumors.},
        keywords = {Brain tumors, Magnetic Resonance Imaging (MRI) Deep learning, Convolutional Neural Networks (CNNs), Tumor Detection, MRI images, Image Processing.},
        month = {December},
        }