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. 2020 Sep 29;8:185786–185795. doi: 10.1109/ACCESS.2020.3027738

TABLE 5. Quantitative Evaluation Results of Different Modules Used in Our Proposed Model. RB: Residual Block, RRB: Residual Refinement Block, PCB: Pyramid Convolution Block, CAB: Channel Attention Block.

Method Infection type DSC Sen. Spec.
(1) ResNet-101+RB (Backbone) Ground-Glass Opacities 0.7034 ± 0.044 0.8011 ± 0.019 0.9714 ± 0.011
Interstitial Infiltrates 0.6958 ± 0.026 0.7969 ± 0.020 0.9799 ± 0.009
Consolidation 0.7934 ± 0.020 0.8289 ± 0.025 0.9806 ± 0.012
(2) ResNet-101+RRB Ground-Glass Opacities 0.7148 ± 0.041 0.8246 ± 0.021 0.9729 ± 0.007
Interstitial Infiltrates 0.7198 ± 0.021 0.8101 ± 0.018 0.9832 ± 0.010
Consolidation 0.8066 ± 0.020 0.8536 ± 0.018 0.9833 ± 0.009
(3) ResNet-101+RRB+CAB Ground-Glass Opacities 0.7278 ± 0.039 0.8402 ± 0.019 0.9781 ± 0.006
Interstitial Infiltrates 0.7293 ± 0.026 0.8145 ± 0.0201 0.9862 ± 0.008
Consolidation 0.8605 ± 0.0151 0.8502 ± 0.019 0.9891 ± 0.005
(4) ResNet-101+RRB+CAB+PCB Ground-Glass Opacities 0.7422 ± 0.038 0.8593 ± 0.018 0.9742 ± 0.005
Interstitial Infiltrates 0.7384 ± 0.021 0.8268 ± 0.020 0.9869 ± 0.005
Consolidation 0.8769 ± 0.015 0.8645 ± 0.017 0.9889 ± 0.007