Table.
AI for COVID-19 pneumonia classification
| Author | Modality | Dataset | 2D/3D | All data | All Covid-19 | Train (all/Covid-19) | Test (all/Covid-19) | Cross validation | Independent test | Sensitivity | Specificity | AUC | Dataset | Code URL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Li et al. (20) | CT | COVID-19/CAP/normal | 3D | 3322 | 468 | 2969/400 | 353/68 | Yes | 0.90 | 0.96 | 0.96 | Not open | https://github.com/bkong999/COVNet | |
| Shi et al. (30) | CT | COVID-19/CAP | 3D | 2685 | 1658 | 5 | No | 0.91 | 0.83 | 0.94 | Not open | |||
| Wang et al. (44) | CT | COVID-19/pneumonia/normal | 3D | 1266 | 924 | 709/560 | 226/102, 161/92 | Yes | 0.80/0.79 | 0.76/0.81 | N/A | Not open | ||
| Xu et al. (27) | CT | COVID-19/fluA/normal | 3D | 618 | 219 | 528/189 | 90/30 | Yes | 0.87 | 0.81 | N/A | Not open | ||
| Jin et al. (41) | CT | COVID-19/normal | 2D | 595 | 379 | 296/196 | 299/183 | Yes | 0.94 | 0.95 | 0.97 | Not open | https://github.com/ChenWWWeixiang/diagnosis_covid19 | |
| Zheng et al. (45) | CT | COVID-19/other | 3D | 540 | 313 | 499 / N/A | 131/ N/A | Yes | 0.90 | 0.91 | 0.97 | Not open | https://github.com/sydney0zq/covid-19-detection | |
| Song et al. (42) | CT | COVID-19/normal/bacterial | 2D | 275 | 88 | N/A | N/A | No | 0.93 | 0.96 | 0.99 | Not open | ||
| Wang et al. (43) | CT | COVID-19/normal | 2D | 259 | 195 | N/A | N/A | No | 0.67 | 0.83 | N/A | Not open | ||
| Gozes et al. (34) | CT | COVID-19/normal | 2D/3D | 206 | 106 | 50/50 | 56/51, 56/49 | Yes | 0.98 | 0.92 | 0.99 | Not open | ||
| Barstugan et al. (29) | CT | COVID-19/other | 2D | 150 | 53 | 10 | No | 0.93 | 1.00 | N/A | Open | |||
| Chen et al. (40) | CT | COVID-19/other | 2D | 106 | 51 | 64/40 | 42/11 | Yes | 1.00 | 0.93 | N/A | Not open | ||
| Ghoshal et al. (35) | CXR | COVID-19/normal | 2D | N/A | 70 | 10 | No | N/A | N/A | N/A | Open | |||
| Wang et al. (36) | CXR | COVID-19/normal/bacterial/viral | 2D | 5941 | 68 | N/A | N/A | N/A | 1.00 | N/A | N/A | Open | https://github.com/lindawangg/COVID-Net | |
| Apostolopoulos et al. (37) | CXR | COVID-19/CAP/normal | 2D | 1427 | 224 | 10 | No | 0.99 | 0.97 | N/A | Open | |||
| El-Din Hemdan et al. (31) | CXR | COVID-19/normal | 3D | 50 | 25 | 40/20 | 10/5 | Yes | 1.00 | 0.80 | N/A | Open |
Additional datasets for pretrain is not included in this Table.
2D/3D, two-dimensional/three-dimensional; All data, a number of all dataset for the study; All COVID-19, a number of COVID-19 dataset for the study; Train (all/COVID-19), a number of all dataset for train and A number of COVID-19 dataset for train; Test (all/COVID-19), a number of all dataset for test and A number of COVID-19 dataset for test; AUC, area under the curve; CT, computed tomography; CXR, chest radiography; CAP, community acquired pneumonia; fluA, influenza pneumonia; N/A, not applicable.