Hong HUANG, Rongfei LÜ, Junli TAO, Yuan LI, Jiuquan ZHANG. Segmentation of Lung Nodules in CT Images Using Improved U-Net++[J]. Acta Photonica Sinica, 2021, 50(2): 65
- Acta Photonica Sinica
- Vol. 50, Issue 2, 65 (2021)
Fig. 1. Comparison of multi-level feature encoding-decoding structure
Fig. 2. The overall structure of the proposed i U-Net++ algorithm
Fig. 3. Weighted aggregation block
Fig. 4. Segmentation data sets used in the experiment
Fig. 5. The preprocessing procedure
Fig. 6. Comparison of segmentation results of pulmonary nodules in LIDC dataset
Fig. 7. Loss-DICE curves of i U-Net ++ algorithm during training process in LIDC dataset
Fig. 8. Comparison of DICE change curves during network training in LIDC dataset
Fig. 9. Comparison of segmentation results of pulmonary nodules in CQUCH-LC dataset
Fig. 10. Loss-DICE curves of i U-Net ++ algorithm during training process in CQUCH-LC dataset
Fig. 11. Comparison of DICE change curves during network training in CQUCH-LC dataset
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Table 1. Segmentation results of multiple metrics on the testing set of LIDC dataset by different algorithms
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Table 2. Segmentation results of multiple metrics on the testing set of CQUCH-LC dataset by different algorithms
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