Table 3 List of CNNs used for COVID-19 image segmentation
From: Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic
Task | Image modality | Dataset | Approach | Reference |
|---|---|---|---|---|
Segmentation | CT scans | COVID-19 CT with annotation, random chest CT scans | COVIDSegNet, encoder and decoder, Progressive Atrous Spatial Pyramid Pooling | Yan et al. [56] |
Classification, segmentation | X-ray, CT scan | Normal, COVID-19 | COVID_MTNet, transfer learning with Inception Residual Recurrent Neural Network, NABLA-N network model | Alom et al. [57] |
Segmentation | CT scans | COVID-19 | VB-Net | Shan et al. [58] |
Segmentation | CT scans | COVID-19 | U-Net | Chen et al. [59] |
Segmentation | CT scans | COVID-19 | Inf-Net, Semi-Inf-Net | Fan et al. [60] |
Segmentation | CT scans | COVID-19 | COPLE-Net | Wang et al. [61] |
Segmentation | CT scans | COVID-19 | U-Net, CNN | Voulodimos et al. [62] |