Hong Huang, Chao Peng, Ruoyu Wu, Junli Tao, Jiuquan Zhang. Self-Supervised Transfer Learning of Pulmonary Nodule Classification Based on Partially Annotated CT Images[J]. Acta Optica Sinica, 2020, 40(18): 1810003
- Acta Optica Sinica
- Vol. 40, Issue 18, 1810003 (2020)
Fig. 1. Schematic of self-supervised learning principle
Fig. 2. Transformation method of lung CT images. (a) Original image; (b) nonlinear transformation; (c) local pixel change; (d) external pixel change; (e) internal pixel change
Fig. 3. Flow chart of proposed algorithm
Fig. 4. Loss-accuracy graph of proposed model when FC is 2
Fig. 5. ROC curves of different classification models when FC is 2
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Table 1. Comparison of classification performance under different number of fully connected layers
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Table 2. Comparison of running time of different models under different number of fully connected layerss
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Table 3. Comparison of classification performance of different algorithms
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Table 4. Comparison of running time of different algorithms
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