Dec 8, 2023 · We propose a method for medical image segmentation that adapts to each incoming data batch (online adaptation), incorporates physician feedback through active ...
In this repo, we provide a paper list of active learning in the fields of medical image analysis and computer vision.
Dec 8, 2023 · Active Learning Guided Federated Online Adaptation: Applications in Medical. Image Segmentation. Md Shazid Islam*, Sayak Nag, Arindam Dutta ...
Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation · no code implementations • 8 Dec 2023 • Md Shazid Islam, Sayak ...
Mar 12, 2024 · In this paper, we conduct a comprehensive survey of the recent development of federated learning methods in medical image analysis.
This article provides a systematic survey of FL in medical image analysis, specifically based on Magnetic Resonance Imaging, Computed Tomography, X-radiography ...
RetiGen [Chen et al., arXiv 2024] Active learning guided federated online adaptation: Applications in medical image segmentation [PDF] [G-Scholar] [CODE--].
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Continual learning can help to adapt models to the changing environ- ment by training on a continuous data stream. However, continual manual expert labelling of ...
Sep 13, 2023 · Federated learning (FL) is gaining wide acceptance across the medical AI domains. FL promises to provide a fairly acceptable clinical-grade ...
Sep 1, 2024 · This review paper thoroughly examines federated learning research applied to medical image analysis, outlining technical contributions.