Table 7.
Summary of related works.
| Ref | Dataset | Number of Cases (Images) | Pre-Processing | DNN | Performance (%) |
|---|---|---|---|---|---|
| [54] | SIRM | 3000 COVID-19, 3000 HC | Patches Extraction | PreTrain Networks | Acc 98.27 |
| [65] | Zhao et al | 460 COVID-19, 397 HC | DA | SqueezeNet | Acc 85.03 |
| [68] | Indian | 2373 COVID-19, 6321 HC | – | Ensemble DCCNs | Acc 98.83 |
| [69] | Different Datasets | – | Visual Inspection | BigBiGAN | – |
| [55] | Clinical | 148 COVID-19, 148 HC | Visual Inspection | ResGNet-C | Acc 96.62 |
| [70] | Clinical | 349 COVID-19, 397 HC | Scaling Process, DA | MKs-ELM-DNN | Acc 98.36 |
| [56] | COVID-CT | – | DA | U-net + DCN | Acc 92.87 |
| [67] | Public Dataset | 2933 COVID-19 | Normalization, Resizing | EDL_COVID | Acc 99.054 |
| [71] | Clinical | 320 COVID-19, 320 HC | HS, Margin Crop, Resizing | FGCNet | Acc 97.14 |
| [72] | Clinical | – | ROIs Extraction | Modified Inception | Acc 89.5 |
| [57] | Clinical | 3389 COVID-19, 1593 HC | Standard Preprocessing | 3D ResNet34 | Acc 87.5 |
| [73] | COVIDx-CT | 104,009 | DA | COVIDNet-CT | Acc 99.1 |
| [74] | Different Datasets | 349 COVID-19, 397 HC | Resizing, Normalization, DA | ResNet18 | Acc 99.4 |
| [58] | COVID-CT | 345 COVID-19, 397 HC | Resizing, DA | CGAN + ResNet50 | Acc 82.91 |
| [75] | Clinical | – | Resizing, Padding, DA | 3D-CNN | AUC 70 |
| [59] | SARS-CoV-2 | 1252 COVID-19, 1230 HC | – | GAN with WOA + InceptionV3 | Acc 99.22 |
| [66] | Different Datasets | – | Resizing | Inception V1 | Acc 95.78 |
| [76] | Clinical | 2267 COVID-19, 1235 HC | Normalization, Cropping, Resizing | ResNet50 | Acc 93 |
| [77] | Clinical | – | Visual Inspection, ROI, Cropping and Resizing |
ResNet 101 | Acc 99.51 |
| [60] | Different Datasets | 413 COVID-19, 439 HC | – | ResNet-50 + 3D-CNN | Acc 93.01 |
| [78] | Clinical | – | DA | Multi-View U-Net + 3D-CNN | Acc 90.6 |
| [61] | Different Datasets | – | Resized, Intensity Normalized | FCN | Acc 94.67 |
| [79] | Zhao et al | 746 | – | GAN + ShuffleNet | Acc 84.9 |
| [80] | COVID-CT | 345 COVID-19, 375 HC | 2D RDWT, Resizing | ResNet50 | Acc 92.2 |
| [81] | SARS-CoV-2 | 1262 COVID-19, 1230 HC | – | CSVM | Acc 94.03 |
| [82] | Different Datasets | 767 | – | Different PreTrain Methods | Acc 75 |
| [83] | MedSeg DII | – | Resizing | U-Net + VGG16 and Resnet-50 | Acc 99.4 |
| [84] | Basrah | 1425 | Resizing | VGG 16 | Acc 99 |
| [62] | Kaggle | 1252 COVID, 1240 HC | Resizing, Normalization, DA | COVID CT-net | Acc 95.78 |
| [85] | COVID-CT | 312 COVID-19, 396 HC | Normalization | LeNet-5 | Acc 95.07 |
| Ours | Clinical | 1766 COVID-19, 1397 HC | Filtering, DA using CycleGAN | Different PreTrain Methods | Acc 99.60 |