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

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- 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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