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National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China, School of Informatics, Xiamen University, Xiamen, China
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Structure-aware contrastive learning with visual queries and soft pseudo-targets unlocks state-of-the-art performance in automated CT report generation.
A new federated learning framework tackles the challenge of training a global brain tumor segmentation model when different hospitals have access to different MRI modalities.
