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Table 2 List of CNNs used for the detection and classification of COVID-19

From: Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic

Task Image modality Dataset Approach Reference
Detection X-ray Normal, non-COVID-19 pneumonia, COVID-19 COVID-Net, tailored deep CNN Wang et al. [36]
Detection X-ray Normal, viral, bacterial, COVID-19 CovXNet, CNN with transfer learning Mahmud et al. [37]
Detection X-ray COVID-19, non-COVID-19 (includes normal and other pneumonia) CNN-tailored shallow architecture, 5-fold cross-validation Mukherjee et al. [38]
Detection X-ray Normal, COVID-19 ResNet50, InceptionV3 and Inception-ResNetV2, 5-fold cross-validation Narin et al. [39]
Detection X-ray Normal, COVID-19, bacterial pneumonia Modality-specific transfer learning with CNN, iterative pruning, ensemble strategies Rajaraman et al. [40]
Detection X-ray COVID-19, non-COVID-19 pneumonia ResNet50, VGG16, small CNN, ensemble of three CNNs, 10-fold cross-validation Hall et al. [41]
Detection X-ray Normal, pneumonia and COVID-19 MobilNetV2 Apostolopoulos and Mpesiana [42]
Detection X-ray Normal, pneumonia and COVID-19 Concatenation Xception and ResNet50V2 Rahimzadeh and Attar [43]
Detection X-ray Common pulmonary diseases, COVID-19 MobileNetV2 Apostolopoulos et al. [44]
Detection X-ray, CT scans COVID-19, bacterial pneumonia, viral pneumonia AlexNet, VGG, SqueezeNet, GoogLeNet, MobileNet, ResNet and DenseNet Rehman et al. [45]
Detection CT scan COVID-19 positive and negative VGG16, InceptionV3, ResNet50, DenseNet121, DenseNet201, decision fusion Mishra et al. [46]
Classification X-ray Normal, COVID-19, pneumonia ResNet152, SMOTE algorithm Kumar et al. [47]
Classification X-ray Normal, COVID-19 COVIDX-Net, deep learning classifiers VGG16 and DenseNet201 showed good performance Hemdan et al. [48]
Classification X-ray Normal, SARS, COVID-19 DeTraC, transfer learning, ResNet18 Abbas et al. [49]
Classification X-ray Normal, COVID-19, bacterial and viral pneumonia Transfer learning with CNN Ozturk et al. [50]
Classification CT scan Image patches of COVID-19 findings, COVID-19 and no-finding VGG16, GoogleNet, and ResNet50, feature fusion and ranking technique, SVM classifier Özkaya et al. [51]
Classification CT scans Viral pneumonia, COVID-19 M-Inception, transfer learning Wang et al. [52]
Detection X-ray COVID-19, normal CovidGAN, VGG16, GAN Waheed et al. [53]
Detection X-ray COVID-19, normal AlexNet, ResNet18, SqueezeNet, GoogLeNet, GAN Khalifa et al. [54]
Classification X-ray COVID-19, normal, other pneumonia VGG16, ResNet50, EfficientNetB0, GAN Zebin and Rezvy [55]