Research Article
Detection of COVID-19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network
Table 3
Comparative analysis of classification results with recent related studies.
| Study | Method | Performance | Acc (%) | Sp (%) | Sn (%) |
| Yasar and Ceylan [6] | 23-layer deep CNN | 95.9 | 99.0 | 94.0 | Amyar et al. [9] | Multitask DL (with the encoder and the decoder) | 94.6 | 92.0 | 96.0 | Wang et al. [12] | 3D-ResNets | 93.3 | 95.5 | 87.6 | Sun et al. [18] | AFS-DF | 91.7 | 89.9 | 93.0 | Hasan et al. [19] | DenseNet-121 | 92.0 | ā | ā | Wang et al. [20] | Modified inception V3 | 89.5 | 88.0 | 87.0 | Cai et al. [21] | ResNet-18 | 94.3 | 97.3 | 91.4 | Proposed | Deformable ResNet-50 | 97.6 | 98.5 | 96.5 |
|
|