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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Veröffentlicht in:	IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (Online) S. 172 - 176
Hauptverfasser:	Van, Minh-Hao, Verma, Prateek, Wu, Xintao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.06.2024
Schlagworte:	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
Online-Zugang:	Volltext
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