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The error rate of the 3D SV-CNN (top) and 3D MV-CNN (bottom) with chain architecture for the ternary classification.
Abstract
<p>From left to right, there are the error rates of Softmax, CNN1, CNN2 and CNN3, respectively.</p- Image
- Figure
- Space Science
- Environmental Sciences not elsewhere classified
- Biological Sciences not elsewhere classified
- Information Systems not elsewhere classified
- Lung Image Database Consortium
- 3 D Inception-ResNet
- one-view-one-network strategy
- ternary classification
- 3 D multi-view convolutional
- 3 D Inception
- lung nodules
- chain architecture
- CT
- error rate
- multi-view-one-network strategy
- 2 D MV-CNN
- 3 D MV-CNN
- 3 D Inception network
- 3 D context information
- 3 D convolutional
- lung nodule classification
- Image Database Resource Initiative database
- acyclic graph architecture
- 2 D CNN
- LIDC-IDRI
Similar works
This paper was published in FigShare.
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