A video-trained large vision model achieves competitive zero-shot performance on organ segmentation, denoising, super-resolution, and 4D CT motion prediction in medical imaging, outperforming some specialized baselines on patient data from 122 cases.
Lan- guage models are few-shot learners.Advances in neural in- formation processing systems, 33:1877–1901
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Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?
A video-trained large vision model achieves competitive zero-shot performance on organ segmentation, denoising, super-resolution, and 4D CT motion prediction in medical imaging, outperforming some specialized baselines on patient data from 122 cases.