Article

An Empirical Evaluation of Low-Rank Adapted Vision–Language Models for Radiology Medical Image Captioning

2025-10-24

Abstract excerpt

Rapidly growing medical imaging volumes have led to an increasing workload for radiologists, creating the need for automated tools that can support interpretation and reduce reporting delays. Vision-language models (VLMs) can generate clinically relevant captions to accelerate report drafting, but their varying parameter scales require evaluation for clinical utility. This study evaluated fine-tuned VLMs on the Ra...

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Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work: 21c5998a-6aec-5fc9-88a8-d85b82648063
DOI: 10.20944/preprints202510.1894.v1

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