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통찰 - Federated Learning for MRI Segmentation
Innovative Federated Learning Framework for MRI Segmentation in Rural Healthcare
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.
MRI Segmentation Framework for Rural Healthcare Using Federated Learning
새로운 MRI Segmentation Framework는 제한된 데이터 리소스를 가진 농촌 의료 시설을 위해 특별히 설계되었습니다.
