Federated active learning for multicenter collaborative disease diagnosis

Integration of Federated Learning and AI-Generated Content: A Survey of Overview, Opportunities, Challenges, and Solutions

Y Liu, J Yin, W Zhang, C An, Y ** private training sets isolated. One problem hindering …
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Causal inference in the medical domain: a survey

X Wu, S Peng, J Li, J Zhang, Q Sun, W Li, Q Qian… - Applied …, 2024 - Springer
Causal inference is considered a crucial topic in the medical field, as it enables the
determination of causal effects for medical treatments through data analysis. However, the …
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Deep learning models for ischemic stroke lesion segmentation in medical images: A survey

J Luo, P Dai, Z He, Z Huang, S Liao, K Liu - Computers in Biology and …, 2024 - Elsevier
This paper provides a comprehensive review of deep learning models for ischemic stroke
lesion segmentation in medical images. Ischemic stroke is a severe neurological disease …
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Federated learning using model projection for multi-center disease diagnosis with non-IID data

J Du, W Li, P Liu, CM Vong, Y You, B Lei, T Wang - Neural Networks, 2024 - Elsevier
Multi-center disease diagnosis aims to build a global model for all involved medical centers.
Due to privacy concerns, it is infeasible to collect data from multiple centers for training (ie …
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