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

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- 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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