MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health-Reference-Cited by-同舟云学术

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MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Haridas Harishma T.¹,Fouda Mostafa M.²,Fadlullah Zubair Md¹,Mahmoud Mohamed³,ElHalawany Basem M.⁴,Guizani Mohsen⁵

Affiliation:

1. Lakehead University,Department of Computer Science,Thunder Bay,Ontario,Canada

2. Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA

3. Tennessee Tech University,Department of Electrical and Computer Engineering,Cookeville,TN,USA

4. Benha University,Faculty of Engineering at Shoubra,Egypt

5. Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),Machine Learning Department,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839076.pdf?arnumber=9839076

Reference12 articles.

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3. 12-in-1: Multi-Task Vision and Language Representation Learning

4. End-to-end object detection with transformers;carion;ECCV,2020

5. ViLBERT: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks;lu;NeurIPS,2019

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2. Mammogram Tumor Segmentation with Preserved Local Resolution: An Explainable AI System;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. A scoping review on multimodal deep learning in biomedical images and texts;Journal of Biomedical Informatics;2023-10

4. An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models;Applied Sciences;2023-08-28

5. A Critical Analysis of Benchmarks, Techniques, and Models in Medical Visual Question Answering;IEEE Access;2023

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