On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study

Recently, large language models (LLMs) have taken the spotlight in natural language processing. Further, integrating LLMs with vision enables the users to explore emergent abilities with multimodal data. Visual language models (VLMs), such as LLaVA, Flamingo, or CLIP, have demonstrated impressive pe...

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Vydané v:	IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (Online) s. 172 - 176
Hlavní autori:	Van, Minh-Hao, Verma, Prateek, Wu, Xintao
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 19.06.2024
Predmet:	Analytical models Biological system modeling Brain modeling Magnetic resonance imaging medical imaging analysis Microscopy Robustness visual language model Visualization zero-shot learning
ISSN:	2832-2975
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