Open-Ended Medical VQA Through Prefix Tuning of Language Models
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/4805db01-ca1d-4a13-a23c-7d10e1a29066
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资源简介：
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.
提供机构：
TIB
创建时间：
2024-12-02
