Table 2.
COVID‐19 imaging data representation | Modalities | ML model | Study |
---|---|---|---|
3D feature maps | CT | Attention‐based deep 3D multiple instance learning | 44 |
Latent high‐level representation | CT | CPM‐Nets 45 multiview representation learning technique | 46 |
Adaptive feature selection guided deep forest (AFS‐DF) | 47 | ||
Image pyramid representation | CT | The multiscale spatial pyramid (MSSP) decomposition 48 | 49 |
Bag representation | CT | Attention based deep 3D multi‐instance learning (AD3D‐MIL) | 44 |
One‐hot representation | CT | Adapted 3D ResNet‐18 | 17 |
64‐dimensional DL features | CT | DenseNet‐like structure 50 | 51 |
Activation maps | X‐ray | MobileNetV2, 40 SqueezeNet, 52 Deep CNN architecture | 21, 53, 54, 55 |
Abbreviations: CNN, convolutional neural network; CT, computed tomography.