MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

[PDF] arxiv.org

Exploring the Boundaries of GPT-4 in Radiology

Q Liu, S Hyland, S Bannur, K Bouzid, DC Castro… - arXiv preprint arXiv …, 2023 - arxiv.org
The recent success of general-domain large language models (LLMs) has significantly
changed the natural language processing paradigm towards a unified foundation model …
被引用次数：23 相关文章 所有 4 个版本
[PDF] arxiv.org

Maira-1: A specialised large multimodal model for radiology report generation

SL Hyland, S Bannur, K Bouzid, DC Castro… - arXiv preprint arXiv …, 2023 - arxiv.org
We present a radiology-specific multimodal model for the task for generating radiological
reports from chest X-rays (CXRs). Our work builds on the idea that large language model (s) …
被引用次数：27 相关文章 所有 3 个版本
[PDF] arxiv.org

Chexagent: Towards a foundation model for chest x-ray interpretation

Z Chen, M Varma, JB Delbrouck, M Paschali… - arXiv preprint arXiv …, 2024 - arxiv.org
Chest X-rays (CXRs) are the most frequently performed imaging test in clinical practice.
Recent advances in the development of vision-language foundation models (FMs) give rise …
被引用次数：18 相关文章 所有 3 个版本