COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images.
Citations
1,868 citations
Cites background or methods from "COVIDX-Net: A Framework of Deep Lea..."
...[41] proposed COVIDX-Net to diagnose COVID-19 in X-ray images....
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...[41] Chest X-ray 25 COVID-19(+) 25 Normal COVIDX-Net 90....
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...[41] used deep learning models to diagnose COVID-19 in X-ray images and proposed a COVIDX-Net model comprising seven CNN models....
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1,117 citations
1,040 citations
Cites methods from "COVIDX-Net: A Framework of Deep Lea..."
...used VGG19 and DenseNet models to diagnose COVID-19 from X-ray images [24]....
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875 citations
769 citations
References
123,388 citations
55,235 citations
"COVIDX-Net: A Framework of Deep Lea..." refers methods in this paper
...A) VGG19: Visual Geometry Group Network (VGG) was developed based on the convolutional neural network architecture by Oxford Robotics Institute's Karen Simonyan and Andrew Zisserman [34]....
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...A) VGG19: Visual Geometry Group Network (VGG) was developed based on the convolutional neural network architecture by Oxford Robotics Institute's Karen Simonyan and Andrew Zisserman [34]....
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49,914 citations
27,821 citations
21,455 citations
"COVIDX-Net: A Framework of Deep Lea..." refers background in this paper
...The outbreak of the 2019 novel coronavirus in Wuhan, China has been rapidly spread to other countries since December 2019 [3-6]....
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