Denoising Multi-Level Cross-Attention and Contrastive Learning for Chest Radiology Report Generation.
Chest radiology report generation plays a vital role in supporting diagnosis, alleviating physician workload, and reducing the risk of misdiagnosis. However, significant challenges persist: (1) Data bias and background noise in chest images often obscure subtle lesion details, leading models to gene...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 5; pp. 2646 - 2664 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas review tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |