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Densely Connected Convolutional Networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging
Research article (2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021) · cited 20× · AI/ML
Densely Connected Convolutional Networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging
Summary
Densely Connected Convolutional Networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging is a scholarly article[1].
Key Facts
Densely Connected Convolutional Networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Densely Connected Convolutional Networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/densely-connected-convolutional-networks-densenet-for-diagnosing-coronavirus-disease-covid-19-from-chest-x-ray-imaging
