Foundation Models vs. Task-Specific Training in Medical Imaging
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38%
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Researchers have evaluated how foundation models like DINOv2 perform in medical image segmentation compared to traditional task-specific models. While foundation models show superior generalization across different clinical institutions, they struggle with precision on small lesions compared to models trained from scratch on abundant data.
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