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@article{201491,
        author = {M.S.KEERTHIKA and P.PAVITHRA and J.RESHMA and S.SINDHUJA},
        title = {Deep Learning and Federated Learning in breast cancer screening},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4547-4552},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201491},
        abstract = {Breast cancer remains one of the most prevalent and life-threatening malignancies among women globally, accounting for a significant proportion of cancer-related mortality. Early and accurate detection is paramount for improving patient survival rates and enabling timely clinical intervention. This paper proposes a novel hybrid framework that integrates Deep Learning (DL) and Federated Learning (FL) for automated breast cancer detection using medical ultrasound imagery. Specifically, Convolutional Neural Networks (CNN) and the MobileNetV2 architecture are employed for robust feature extraction and multi-class classification of ultrasound images into benign, malignant, and normal categories. Federated Learning is leveraged to facilitate privacy-preserving collaborative model training across geographically distributed clients, such as hospitals and diagnostic centers, without the necessity of transmitting sensitive raw patient data to a central repository. The proposed system is trained and evaluated on the publicly available BUSI (Breast Ultrasound Images) dataset and achieves an overall classification accuracy of approximately 84%, demonstrating competitive diagnostic performance. This work establishes that the synergistic combination of deep learning and federated learning not only enhances diagnostic accuracy but also ensures robust data confidentiality, rendering the framework well-suited for real-world clinical deployment.},
        keywords = {Breast Cancer Detection, Deep Learning, Federated Learning, Convolutional Neural Network, MobileNetV2, Medical Image Analysis, Privacy-Preserving AI, BUSI Dataset},
        month = {May},
        }