
The author proposes a novel federated learning framework for MRI segmentation in rural healthcare settings, addressing data scarcity and privacy concerns. By combining deep reinforcement learning with a refinement model, the framework achieves up to 95% accuracy while preserving data privacy.


coremsg

Innovative-Federated-Learning-Framework-for-MRI-Segmentation-in-Rural-Healthcare


Innovative Federated Learning Framework for MRI Segmentation in Rural Healthcare


title_rewrite


새로운 MRI Segmentation Framework는 제한된 데이터 리소스를 가진 농촌 의료 시설을 위해 특별히 설계되었습니다.


mri-segmentation-framework-for-rural-healthcare-using-federated-learning


MRI Segmentation Framework for Rural Healthcare Using Federated Learning
