CPVB-RG: Cross-Prior Visual Bridging for Prior-Aware Chest X-Ray Report Generation

Key points

• Radiologists interpret follow-up chest X-rays by comparing current and prior examinations to identify new, resolved or progressing findings.1
• Its Cross-Prior Visual Bridge (CPVB) contains Progression-Guided Focus Attention (PGFA) and two Cross-Attention units.1
• The Cross-Attention units then connect the resulting longitudinal visual evidence with clinical semantics.1
• These results support the effectiveness of the proposed difference-aware and spatially guided fusion design for prior-aware chest X-ray report generation.1

Sources (1)

• [1]CPVB-RG: Cross-Prior Visual Bridging for Prior-Aware Chest X-Ray Report Generation
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 02:38 PM

  We propose CPVB-RG, a prior-aware framework that combines current and prior radiographs with available clinical text.

  Radiologists interpret follow-up chest X-rays by comparing current and prior examinations to identify new, resolved or progressing findings.

Extractive summary: sentences quoted from the sources.