English(EN) ICGF-CXRMate: Image-Conditioned Clinical Context Compression and Gated Fusion for Chest X-ray Report Generation

新框架通过数据压缩改进胸部X光报告生成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

研究人员开发了ICGF-CXRMate，一个旨在增强从胸部X光图像生成临床报告的新框架。该系统通过将辅助患者数据压缩成固定数量的临床上下文标记来解决整合辅助患者数据的挑战。然后，这些标记通过门控交叉注意力选择性地与视觉信息融合，同时作为解码器的直接路径保留。在MIMIC-CXR和MIMIC-IV-ED数据集上的实验表明，报告质量指标（如RadGraph-F1、CXR-BERT相似度和BLEU-4）有显著提高，同时平均提示长度也显著缩短。 AI

影响该框架可能带来更准确、更简洁的临床报告，提高诊断效率。

排序理由该项目是一篇研究论文，详细介绍了一个新框架和实验结果。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Vu Minh Tran, Thuc Huynh, Son Thanh Luu, Doanh C. Bui · 2026-10-23 04:00

ICGF-CXRMate: Image-Conditioned Clinical Context Compression and Gated Fusion for Chest X-ray Report Generation

arXiv:2610.30928v1 Announce Type: new Abstract: Auxiliary patient data can improve chest X-ray report generation, but directly concatenating heterogeneous clinical information with visual tokens produces long, variable-length decoder prompts and may expose the model to redundant …

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ICGF-CXRMate: Image-Conditioned Clinical Context Compression and Gated Fusion for Chest X-ray Report Generation

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