Gaze2Report combines predicted eye-gaze scanpaths and graph neural networks with LoRA-tuned LLMs to generate radiology reports that incorporate human visual attention without requiring gaze data at inference time.
Improve image cap- tioning by estimating the gazing patterns from the cap- tion,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.TO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs
Gaze2Report combines predicted eye-gaze scanpaths and graph neural networks with LoRA-tuned LLMs to generate radiology reports that incorporate human visual attention without requiring gaze data at inference time.