Cloud-based Federated Learning Framework for MRI Segmentation

arXiv:2403.00254v1 Announce Type: new
Abstract: In contemporary rural healthcare settings, the principal challenge in diagnosing brain images is the scarcity of available data, given that most of the existing deep learning models demand extensive training data to optimize their performance, necessitating centralized processing methods that potentially compromise data privacy. This paper proposes a novel framework tailored for brain tissue segmentation in rural healthcare facilities. The framework employs a deep reinforcement learning (DRL) environment in tandem with a refinement model (RM) …

abstract arxiv brain challenge cloud cloud-based cs.ai cs.cv cs.lg data data privacy deep learning demand federated learning framework healthcare images mri paper performance privacy processing segmentation training training data type