Robustness of Large Vision Language Model Features Under Wireless Channel Degradation for Medical Visual Question Answering

Deploying medical visual question answering (VQA) systems over wireless networks introduces a fundamental challenge: channel-induced image degradation may corrupt the visual representations extracted by large vision-language models (VLMs), leading to unreliable diagnostic decisions. We investigate t...

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Autors principals:	Merve Güllü, Necaattin Barışçı
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-06-01
Col·lecció:	Applied Sciences
Matèries:	medical visual question answering large vision-language models LLaVA BLIP-2 BioViL-T wireless channel
Accés en línia:	https://www.mdpi.com/2076-3417/16/13/6425
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