Medical knowledge-based network for Patient-oriented Visual Question Answering

Author:

Huang Jian,Chen Yihao,Li Yong,Yang Zhenguo,Gong Xuehao,Wang Fu Lee,Xu Xiaohong,Liu Wenyin

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference57 articles.

1. Overview of the vqa-med task at imageclef 2020: Visual question answering and generation in the medical domain;Abacha,2020

2. VQA-med: Overview of the medical visual question answering task at imageclef 2019;Abacha,2019

3. Overview of the VQA-med task at ImageCLEF 2021: Visual question answering and generation in the medical domain;Abacha,2021

4. MEANS: A medical question-answering system combining NLP techniques and semantic web technologies;Abacha;Information Processing & Management,2015

5. Ben-Younes, H., Cadene, R., Cord, M., & Thome, N. (2017). Mutan: Multimodal tucker fusion for visual question answering. In Proceedings of the IEEE international conference on computer vision (pp. 2612–2620).

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