Fig. 1. Overall structure of REC-ResNet model

Fig. 2. Internal structure diagram of Stage2

Fig. 3. Residual adaptive feature fusion module

Fig. 4. Efficient feature enhanced Transformer

Fig. 5. Cross-level attention enhanced module

Fig. 6. Spatial attention

Fig. 7. Channel attention

Fig. 8. Chest X-Ray dataset sample

Fig. 9. Comparison of various evaluation index values of different CNN classification models

Fig. 10. Confusion matrix of classification results of different CNN models

Fig. 11. ROC curve of different CNN models

Fig. 12. Comparison of evaluation index values of ResNet50 classification model combining different attention mechanisms

Fig. 13. Confusion matrix of classification results of ResNet50 model combining different attention mechanisms

Fig. 14. ROC curve of ResNet50 model combining different attention mechanisms

Fig. 15. Comparison of evaluation index values of ablation experiment

Fig. 16. Confusion matrix of ablation experiment classification results

Fig. 17. ROC curve of all models in ablation experiment

Fig. 18. Three types of chest X-Ray images and corresponding heat maps