Improved COVID-19 detection with chest x-ray images using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13509-4.pdf
Reference46 articles.
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3. Ardakani AA, Kanafi AR, Acharya UR, Khadem N, Mohammadi A (2020) Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: results of 10 convolutional neural networks. Comput Biol Med 121:103795
4. Asnaoui KE, Chawki Y, Idri A (2020) Automated methods for detection and classification pneumonia based on x-ray images using deep learning. In Artificial intelligence and blockchain for future cybersecurity applications (pp. 257–284). Springer, Cham
5. Chaudhary A, Gupta V, Jain N, Santosh KC (2021) COVID-19 on Air Quality Index (AQI): A necessary evil?. In: Santosh, K., Joshi, A. (eds) COVID-19: prediction, decision-making, and its impacts. Lecture notes on data engineering and communications technologies, vol 60. Springer, Singapore. https://doi.org/10.1007/978-981-15-9682-7_14
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