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Deep GRU-CNN model for COVID-19 detection from chest X-rays data

In the current era, data is growing exponentially due to advancements in smart devices. Data scientists apply a variety of learning-based techniques to identify underlying patterns in the medical data to address various health-related issues. In this context, automated disease detection has now beco...

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Bibliographic Details
Main Authors: Pir Masoom Shah, Faizan Ullah, Dilawar Shah, Abdullah Gani, Maple, Carsten, Yulin Wang, Shahid, Mohammad Abrar, Saif Ul Islam
Format: Article
Language:English
English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Subjects:
RC71-78.7 Examination. Diagnosis Including radiography
Online Access:https://eprints.ums.edu.my/id/eprint/32613/1/Deep%20GRU-CNN%20model%20for%20COVID-19%20detection%20from%20chest%20X-rays%20data.pdf
https://eprints.ums.edu.my/id/eprint/32613/3/Deep%20GRU-CNN%20model%20for%20COVID-19%20detection%20from%20chest%20X-rays%20data%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32613/
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9423965
https://doi.org/10.1109/ACCESS.2021.3077592
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Internet

https://eprints.ums.edu.my/id/eprint/32613/1/Deep%20GRU-CNN%20model%20for%20COVID-19%20detection%20from%20chest%20X-rays%20data.pdf
https://eprints.ums.edu.my/id/eprint/32613/3/Deep%20GRU-CNN%20model%20for%20COVID-19%20detection%20from%20chest%20X-rays%20data%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32613/
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9423965
https://doi.org/10.1109/ACCESS.2021.3077592

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