Covid4HPC: A Fast and Accurate Solution for Covid Detection in the Cloud Using X-Rays-Reference-Cited by-同舟云学术

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Covid4HPC: A Fast and Accurate Solution for Covid Detection in the Cloud Using X-Rays

Published:2021 Issue: Volume: Page:327-336
ISSN:0302-9743
Container-title:Applied Reconfigurable Computing. Architectures, Tools, and Applications
language:
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Author:

Danopoulos Dimitrios^ORCID,Kachris Christoforos^ORCID,Soudris Dimitrios^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-79025-7_25

Reference17 articles.

1. COVID-19 DATABASE. https://www.sirm.org/category/senza-categoria/covid-19/. Accessed 30 Oct 2020

2. Azemin, M., Hassan, R., Mohd Tamrin, M.I., Ali, M.: Covid-19 deep learning prediction model using publicly available radiologist-adjudicated chest x-ray images as training data: preliminary findings. Int. J. Biomed. Imaging 1–7 (2020). https://doi.org/10.1155/2020/8828855

3. Channa, A., Popescu, N., Malik, N.U.R.: Robust technique to detect covid-19 using chest x-ray images 1–6 (2020). https://doi.org/10.1109/EHB50910.2020.9280216

4. Chowdhury, M., et al.: Can AI help in screening viral and covid-19 pneumonia? IEEE Access 8, 132665–132676 (2020). https://doi.org/10.1109/ACCESS.2020.3010287

5. Danopoulos, D., Kachris, C., Soudris, D.: Acceleration of image classification with caffe framework using FPGA, pp. 1–4 (2018). https://doi.org/10.1109/MOCAST.2018.8376580

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