Federated learning for medical image analysis: A survey

H Guan, PT Yap, A Bozoki, M Liu - Pattern Recognition, 2024 - Elsevier
Abstract Machine learning in medical imaging often faces a fundamental dilemma, namely,
the small sample size problem. Many recent studies suggest using multi-domain data …
被引用次数：20 相关文章

Federated Learning for Medical Image Analysis: A Survey

H Guan, M Liu - arXiv preprint arXiv:2306.05980, 2023 - arxiv.org
Machine learning in medical imaging often faces a fundamental dilemma, namely the small
sample size problem. Many recent studies suggest using multi-domain data pooled from …

Federated learning for medical image analysis: A survey.

H Guan, PT Yap, A Bozoki, M Liu - Pattern Recognition, 2024 - europepmc.org
Machine learning in medical imaging often faces a fundamental dilemma, namely, the small
sample size problem. Many recent studies suggest using multi-domain data pooled from …

Federated learning for medical image analysis: A survey

H Guan, PT Yap, A Bozoki, M Liu - Pattern Recognition, 2024 - ui.adsabs.harvard.edu
Abstract Machine learning in medical imaging often faces a fundamental dilemma, namely,
the small sample size problem. Many recent studies suggest using multi-domain data …

Federated learning for medical image analysis: A survey

H Guan, PT Yap, A Bozoki, M Liu - Pattern recognition, 2024 - pubmed.ncbi.nlm.nih.gov
Machine learning in medical imaging often faces a fundamental dilemma, namely, the small
sample size problem. Many recent studies suggest using multi-domain data pooled from …