Optimal Deep Neural Network-Based Model for Answering Visual Medical Question-Reference-Cited by-同舟云学术

Optimal Deep Neural Network-Based Model for Answering Visual Medical Question

Published:2021-12-28 Issue: Volume: Page:1-22
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Gasmi Karim¹,Ltaifa Ibtihel Ben²,Lejeune Gaël²,Alshammari Hamoud³,Ammar Lassaad Ben⁴,Mahmood Mahmood A.³

Affiliation:

1. Department of Computer Science, College of Arts and Sciences at Tabarjal, Jouf University, Jouf, Saudi Arabia

2. STIH, Sorbonne Université, Paris, France

3. Department of Information Systems, College of Computer and Information Sciences, Jouf University, Jouf, Saudi Arabia

4. College of Sciences and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Jouf University

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2021.2018543

Reference48 articles.

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2. VQA: Visual Question Answering

3. Al-Sadi, A., H. Al-Theiabat, and M. Al-Ayyoub. The inception team at vqa-med 2020: Pretrained vgg with data augmentation for medical vqa and vqg. CLEF, 2020.

4. Altszyler, E., M. Sigman, and D. F. Slezak. Corpus specificity in lsa and word2vec: The role of out-of-domain documents, in Rep4NLP@ACL, 2018.

5. Chen, G., H. Gong, and G. Li. Hcp-mic at vqa-med 2020: Effective visual representation for medical visual question answering, in CLEF, 2020.

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