Yu Feng, Benshun Yi, Chenyue Wu, Yungang Zhang. Pulmonary Nodule Recognition Based on Three-Dimensional Convolution Neural Network[J]. Acta Optica Sinica, 2019, 39(6): 0615006
- Acta Optica Sinica
- Vol. 39, Issue 6, 0615006 (2019)
Fig. 1. 2D and 3D convolutions. (a) 2D convolution; (b) 3D convolution
Fig. 2. Structure of SE block
Fig. 3. Schematic of SE-Dense block
Fig. 4. Model of network structure
Fig. 5. Recognition results of candidate nodules. (a) Prediction probability of true nodule; (b) prediction probability of pseudopositive nodule
| ||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 1. Comparison of pulmonary nodule recognition performance by different network structures on LUNA16 dataset
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 2. Pulmonary nodule recognition performance by different algorithms on LUNA16
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20