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- W4316087106 abstract "Covid-19 detection systems took a relatively long time to generate reports, which was inconvenient because the infected person required immediate medical attention. Covid-19 detection systems based on general X-rays are quick and provide immediate results. This paper proposes a system for detecting COVID-19 in Chest X-Ray (CXR) images. The proposed system is based on the DenseNet-201 pre-trained network. The system is implemented using a PC connected with a Raspberry Pi4 that has an 8MP camera. An accuracy of 99.2% and an AUC of 99.92 % are obtained from testing the proposed system. The system is tested practically on 20 different images. All x-ray images were classified correctly." @default.
- W4316087106 created "2023-01-14" @default.
- W4316087106 creator A5059867728 @default.
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- W4316087106 date "2022-09-07" @default.
- W4316087106 modified "2023-10-16" @default.
- W4316087106 title "Implementation of Deep Learning In Detection of Covid-19 In X-ray Images Using Raspberry Pi" @default.
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- W4316087106 doi "https://doi.org/10.1109/iiccit55816.2022.10010353" @default.
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