Continual Learning in Medical Imaging: A Survey and Practical Analysis
arXiv · · Significant research
Summary
This survey paper reviews recent literature on continual learning in medical imaging, addressing challenges like catastrophic forgetting and distribution shifts. It covers classification, segmentation, detection, and other tasks, while providing a taxonomy of studies and identifying challenges. The authors also maintain a GitHub repository to keep the survey up-to-date with the latest research.
Keywords
continual learning · medical imaging · survey · catastrophic forgetting · deep learning
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