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Dual-modal Dynamic Traceback Learning for Medical Report Generation
Recent generative representation learning methods have demonstrated the benefits of dual-modal learning from both image and text modalities.
Enhancing medical vision-language contrastive learning via inter-matching relation modelling
These learned image representations can be transferred to and benefit various downstream medical vision tasks such as disease classification and segmentation.
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