Computational and Mathematical Methods in Medicine / 2020 / Article / Tab 2 / Research Article
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence Table 2 COVID-19/non-COVID-19 classification results. Class.: classification; Sens.: sensitivity; Spec.: specificity; Prec.: precision; Acc.: accuracy; AUC: area under the curve; Ref.: reference.
Class. Subjects Dataset Method Sens. (%) or recall Spec. (%) Prec. (%) Acc. (%) AUC (%) F1-score Ref. COVID-19/ 496 COVID-19 Private + [28 , 31 ] CNN 94.06 95.47 N/A 94.98 97.91 NA Jin et al. [30 ]Preprint COVID-19/ N/A [46 ] CNN ~90 ~90 N/A ~90 Not clear ~90 Singh et al. [32 ]Peer-reviewed COVID-19/ 449 COVID-19 Private +47 , 48 ] DL multitask 94 79 N/A 86 93 N/A Amyar et al. [33 ]Preprint COVID-19/ 349 COVID-19 Private + [47 , 49 ] ResNet18 100.0 98.6 N/A 99.4 99.65 99.5 Ahuja et al. [34 ]Peer-reviewed COVID-19/ 564 COVID-19 [50 ] VGG16 based 88.8 N/A 87.9 88.6 94.0 87.9 Liu et al. [35 ]Conference proceeding COVID-19/ 53 COVID-19 Not clear SVM 97.56 99.68 99.62 98.71 N/A 98.58 Barstugan et al. [36 ]Preprint COVID-19/ 313 COVID-19 Private UNet 90.7 91.1 N/A 90.1 95.9 N/A Wang et al. [37 ]Peer-reviewed COVID-19/ 51 COVID-19 Private UNet++ 94.34 99.16 N/A 98.85 N/A N/A Chen et al. [38 ]Preprint COVID-19/ 723 COVID-19 Private UNet++ 97.4 92.2 N/A N/A 99.1 N/A Jin et al. [39 ]Preprint COVID-19/ 413 COVID-19 [32 , 51 ] ResNet-50 91.46 94.78 95.19 93.02 N/A N/A Pathak et al. [42 ]Peer-reviewed COVID-19/ 460 COVID-19 [26 , 47 ] CNN 85.00 81.00 81.73 83.00 N/A 83.33 Polsinelli et al. [43 ]Preprint COVID-19/ 230 COVID-19 Private AD3D-MIL 97.9 NA 97.9 97.9 99.0 97.9 Han et al. [44 ]Peer-reviewed COVID-19/ 1029 COVID-19 Private AH-Net 84.0 93.0 NA 90.8 94.9 NA Harmon et al. [45 ]Peer-reviewed
