Interpretable medical image Visual Question Answering via multi-modal relationship graph learning-Reference-Cited by-同舟云学术

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning

Published:2024-10 Issue: Volume:97 Page:103279
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Hu Xinyue,Gu Lin,Kobayashi Kazuma,Liu Liangchen,Zhang Mengliang,Harada Tatsuya,Summers Ronald M.,Zhu Yingying

Funder

National Institutes of Health Clinical Center

Japan Science and Technology Agency Moonshot Research and Development Program

Publisher

Elsevier BV

Reference47 articles.

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4. Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C.L., Parikh, D., 2015. Vqa: Visual question answering. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2425–2433.

5. Ben Abacha, A., Sarrouti, M., Demner-Fushman, D., Hasan, S.A., Müller, H., 2021. Overview of the vqa-med task at imageclef 2021: Visual question answering and generation in the medical domain. In: Proceedings of the CLEF 2021 Conference and Labs of the Evaluation Forum-Working Notes. 21–24 September 2021.