Table 1.
Attainment examination of different deep learning mechanisms in the prognosis of COVID-19
| Author | Month & Year | Data | Method | Accuracy | F1- Score | Specificity | Sensitivity |
|---|---|---|---|---|---|---|---|
| Kuchana et.al [80] | Nov, 2020 | CT Scan | 2D deep learning architecture with U-Net | Not Reported | 97.30% | Not Reported | Not Reported |
| Mei et.al [81] | May, 2020 | CT Scan | Convolutional neural network (CNN), Multi-Layer Perceptron (MLP), and Joint Model | CNN model: 79.6%, MLP: 74.2% and Joint model: 83.5% | Not Reported | CNN model: 75.9%, MLP: 68.3% and Joint model: 82.8% | CNN model: 83.6%, MLP: 80.6% and Joint model: 84.3% |
| Wang et al. [82] | Nov, 2020 | X-Ray | COVID-Net, a deep CNN design model | COVID-Net: 93.3% comparing this model with VGG-19: 83% and ResNet-50: 90.6% | Not Reported | Not Reported | COVID-Net: 91% comparing this model with VGG-19: 58.7% and ResNet-50: 83% |
| Che Azemin et.al [83] | Aug, 2020 | X-Ray | ResNet-101 CNN architecture was used | 71.90% | Not Reported | 71.80% | 77.30% |
| Harmon et.al [84] | Aug, 2020 | CT Scan | 3D Classification model (resampled the cropped lung region of CT to a fixed size (192 × 192x64 voxels) for input to algorithm and Hybrid 3D model (192 × 192x32) | 3D: 89.6% and Hybrid 3D: 89.5% | Not Reported | 3D: 91.6% and Hybrid 3D: 95.1% | 3D: 84.5% and Hybrid 3D: 75.1% |
| Hassantabar et.al [85] | July, 2020 | X-Ray | Deep neural network and Convolutional Neural Network | CNN architecture: 93.2% and DNN: 83.4% | CNN architecture: 97.9% and DNN: 83.4% | CNN architecture: 99.7% and DNN: 82.3% | CNN architecture: 96% and DNN: 86% |
| Panwar et.al [86] | May, 2020 | X-Ray | Deep learning neural network-based method nCoVnet | 88% | Not Reported | 78.57% | 97.62% |
| Ghulam Gilanie et al. [87] | Feb, 2021 | X-Ray and CT Scan | CNN | 96.60% | Not Reported | 95.65% | 96.24% |
| Tao Yan et al. [88] | July, 2020 | CT Scan | Multi-scale convolutional neural network | 96.30% | Not Reported | 95.60% | 89.10% |
| Rodolfo M. Pereira et al. [89] | May, 2020 | X-Ray | i) a multi-class classification; ii) hierarchical classification, since pneumonia can be structured as a hierarchy | Not Reported | Multi class: 65% and Hierarchical classification: 89% | Not Reported | Not Reported |
| Song Ying et al. [90] | March, 2021 | CT Scan | DRE-Net | 93% | 93% | 93% | 93% |