Optimal Transport alignment between image patches and disease labels, paired with LLM fine-tuning, improves clinical efficacy of generated radiology reports.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs
Optimal Transport alignment between image patches and disease labels, paired with LLM fine-tuning, improves clinical efficacy of generated radiology reports.