Hong YU, Renze LUO, Chunmeng CHEN, Xiang TANG, Renquan LUO. Bone scintigraphic classification method based on ACGAN and transfer learning[J]. Optics and Precision Engineering, 2023, 31(6): 936
- Optics and Precision Engineering
- Vol. 31, Issue 6, 936 (2023)
Fig. 1. ACGAN principle flow
Fig. 2. Overall flow chart of the method in this paper
Fig. 3. Improved network models
Fig. 4. CA modules
Fig. 5. Residual gated attention architecture
Fig. 6. Dense residual attention module
Fig. 7. CNN classification model
Fig. 8. Comparison of MU-ACGAN training process
Fig. 9. Comparison of transfer learning
Fig. 10. Bone images generated by MU-ACGAN
Fig. 11. Generative bone imaging and real bone imaging
Fig. 12. Similarity comparison
Fig. 13. Bone scintigraphy to identify heatmaps
Fig. 14. Confusion matrix
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Table 1. Number and ratio of training and testing of bone imaging
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Table 2. Amount of bone imaging data after the expansion
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Table 3. Quality assessment of bone imaging
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Table 4. Classification effects of different data augmentation methods
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Table 5. Comparison of transfer learning strategies
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Table 6. Experimental evaluation of multi-scale CNN model ablation
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Table 7. Comparison of the experimental results of different CNN models
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Table 8. Evaluation metrics of different CNN classification models
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