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Class. | Subjects | Dataset | Method | Sens. (%) or recall | Spec. (%) | Prec. (%) | Acc. (%) | AUC (%) | F1-score | Ref. |
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COVID-19/influ-A/normal | 219 COVID-19 224 influ-A 175 normal | Private | CNN ResNet | 86.7 | N/A | 81.3 | N/A | N/A | 83.9 | Xu et al. [52] Peer-reviewed |
COVID-19/CT-EGFR | 1266 COVID-19 4106 CT-EGFR | Private | COVID19Net (DenseNet-like str.) | 79.35 | 71.43 | N/A | 85.00 | 86.00 | 90.11 | Wang et al. [53] Peer-reviewed |
COVID-19/other pneu. | 521 COVID-19 397 normal 76 bac. pneu. 48 SARS | [26, 47] | DL ShuffleNet V2 | 85.71 | 84.88 | N/A | 85.40 | 92.22 | N/A | Hu et al. [10] Preprint |
COVID-19/other pneu. | 521 COVID-19 665 non-COVID-19 pneu. | Private | DNN EfficientNet B4 | 95 | 96 | N/A | 96 | 95 | N/A | Bai et al. [54] Peer-reviewed |
COVID-19/CAP | 1495 COVID-19 1027 CAP | Private | Multiview representation learning | 96.6 | 93.2 | N/A | 95.5 | NA | N/A | Kang et al. [56] Peer-reviewed |
COVID-19/CAP | 1658 COVID-19 1027 CAP | Private | RF-based ML model | 90.7 | 83.3 | N/A | 87.9 | 94.2 | N/A | Shi et al. [57] Preprint |
COVID-19/bac. pneu./normal | 88 COVID-19 101 bac. pneu. 86 normal | Private | DRE-Net | 96 | N/A | 79 | 86 | 95 | 87 | Ying et al. [58] Preprint |
COVID-19/other pneu./non-pneu. | 230 COVID-19 100 normal | Private | AD3D-MIL | 90.5 | NA | 95.9 | 94.3 | 98.8 | 92.3 | Han et al. [44] Peer-reviewed |
COVID-19/other pneu./non-pneu. | 1194 COVID-19 1357 other pneu. 998 normal 444 lung cancer | Private + [26, 47] | FCONet ResNet50 | 99.58 | 100.0 | NA | 99.87 | 100.0 | NA | Ko et al. [59] Peer-reviewed |
COVID-19/other pneu./non-pneu. | 1292 COVID-19 1735 pneumonia 713 non-pneu. | Private | COVNet ResNet50 | 90 | 96 | NA | NA | 96.0 | NA | Li et al. [8] Peer-reviewed |
COVID-19/other pneu./healthy | 3854 COVID-19 6871 other pneu. 8566 healthy | Private | MVPNet 3D UNet 3D UNet-based network | 100 | 25 | NA | 94 | NA | 97.0 | Ni et al. [60] Peer-reviewed |
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