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Found 3 papers, 2 papers with code
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
This process allows the text decoder to attend to discriminative features of X-ray images, assimilate historical diagnostic information from similar cases, and understand the examination intention of patients.
Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation
Polyp segmentation for colonoscopy images is of vital importance in clinical practice.
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
Additionally, existing methods for similar historical cases retrieval face suboptimal performance owing to the modal gap issue.
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