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...

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Bibliographic Details

Published in:	Journal of Imaging Informatics in Medicine Vol. 38; no. 5; pp. 2646 - 2664
Main Authors:	Zhu, Deng, Liu, Lijun, Yang, Xiaobing, Liu, Li, Peng, Wei
Format:	diagnostic images equations & formulas review tables/charts Journal Article
Published:	Springer Nature Oct2025
Online Access:	View this record in EBSCOhost