MCA-RG uses concept alignment, contrastive learning, matching loss, and feature gating to generate radiology reports, reporting SOTA on MIMIC-CXR and CheXpert Plus.
In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
MCA-RG uses concept alignment, contrastive learning, matching loss, and feature gating to generate radiology reports, reporting SOTA on MIMIC-CXR and CheXpert Plus.