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