Authors : Mr.Jagdish F. Pimple, Dr.Mohit Agarwal, Sameer Kedar, Isha Bhomle, Isha Bhomle,Pratiksha Bowade
DOI : 10.46335/IJIES.2024.9.7.15
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Abstract -In response to the increasing prevalence of brain tumors, our research focuses on pioneering diagnostic methods through a revolutionary approach. Leveraging federated learning and machine learning, we aim to create an advanced brain tumor detection model that surpasses existing accuracy standards while championing a decentralized paradigm to ensure patient data privacy. The methodology involves meticulous acquisition and preprocessing of diverse MRI datasets, emphasizing standardization and extracting crucial features like tumor intensity and tissue regions. Our central detection model employs a Convolutional Neural Network (CNN) trained on this curated dataset, with a distinctive feature being the incorporation of federated learning for decentralized model training, eliminating the need for centralized data gathering to protect sensitive medical information.
