Jinming Wang, Peng Li, Yan Liang, Wei Sun, Jie Song, Yadong Feng, Lingxiao Zhao. Esophageal Squamous Cell Carcinoma Recognition Based on Lightweight Residual Networks with an Attention Mechanism[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010023
- Laser & Optoelectronics Progress
- Vol. 60, Issue 10, 1010023 (2023)
Fig. 1. Architecture of CALite-ResNet
Fig. 2. Schematic of GhostModule
Fig. 3. Schematic illustration of improved SCConv
Fig. 4. Diagrams of residual block structures. (a) Bottleneck structure of ResNet50; (b) GSCBottleneck structure
Fig. 5. Structure of CA attention mechanism
Fig. 6. Structure of CA-GSCBottleneck module
Fig. 7. Schematic of majority voting method
Fig. 8. Example diagrams of effects obtained using different data enhancement methods. (a) Origin image; (b) random rotation; (c) horizontal flip; (d) random scaling
Fig. 9. ROC curves of different network models
Fig. 10. Grad-CAM visualizations
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Table 1. Classification results of 5-fold cross-validation at image level
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Table 2. Classification results of 5-fold cross-validation at patient level
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Table 3. Comprehensive performance comparison of different network models
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Table 4. Comparison with related research methods
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Table 5. Comparison of the results of ablation experiments
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Table 6. Comparison of experimental results in different attention modules
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