AI RESEARCH
Radiology Report Generation for Low-Quality X-Ray Images
arXiv CS.CV
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ArXi:2604.10188v1 Announce Type: new Vision-Language Models (VLMs) have significantly advanced automated Radiology Report Generation (RRG). However, existing methods implicitly assume high-quality inputs, overlooking the noise and artifacts prevalent in real-world clinical environments. Consequently, current models exhibit severe performance degradation when processing suboptimal images. To bridge this gap, we propose a robust report generation framework explicitly designed for image quality variations. We first