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Open-Ended Medical VQA Through Prefix Tuning of Language Models

Medical Visual Question Answering (VQA) is an important challenge, as it would lead to faster and more accurate diagnoses and treatment decisions. Most existing methods approach it as a multi-class classification problem, which restricts the outcome to a predefined closed-set of curated answers.

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Cite this as

Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring (2024). Dataset: Open-Ended Medical VQA Through Prefix Tuning of Language Models. https://doi.org/10.57702/7wgskel5

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2303.05977
Author	Tom van Sonsbeek
More Authors	Mohammad Mahdi Derakhshani Ivona Najdenkoska Cees G. M. Snoek Marcel Worring
Homepage	https://github.com/tjvsonsbeek/open-ended-medical-vqa