Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray-Reference-Cited by-同舟云学术

Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray

Published:2023 Issue: Volume: Page:77-88
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Sahoo Pranab^ORCID,Saha Sriparna,Mondal Samrat,Chowdhury Sujit,Gowda Suraj

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1648-1_7

Reference33 articles.

1. Afshar, P., Heidarian, S., Naderkhani, F., Oikonomou, A., Plataniotis, K.N., Mohammadi, A.: Covid-caps: a capsule network-based framework for identification of covid-19 cases from x-ray images. Pattern Recogn. Lett. 138, 638–643 (2020)

2. Arya, N., Saha, S.: Multi-modal advanced deep learning architectures for breast cancer survival prediction. Knowl.-Based Syst. 221, 106965 (2021)

3. Chowdhury, M.E., et al.: Can AI help in screening viral and covid-19 pneumonia? IEEE Access 8, 132665–132676 (2020)

4. Cohen, J.P., Morrison, P., Dao, L., Roth, K., Duong, T.Q., Ghassemi, M.: Covid-19 image data collection: prospective predictions are the future. arXiv2006.11988 (2020). github.com/ieee8023/covid-chestxray-dataset

5. Cordonnier, J.B., Loukas, A., Jaggi, M.: On the relationship between self-attention and convolutional layers. arXiv preprint arXiv:1911.03584 (2019)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. COVID-Attention: Efficient COVID19 Detection Using Pre-trained Deep Models Based on Vision Transformers and X-ray Images;International Journal on Artificial Intelligence Tools;2023-12

2. A Federated Multi-stage Light-Weight Vision Transformer for Respiratory Disease Detection;Communications in Computer and Information Science;2023-11-26

3. SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion;IEEE Access;2023