Automatic Lung Segmentation Based on Texture and Deep Features of HRCT Images with Interstitial Lung Disease
Lung segmentation in high-resolution computed tomography (HRCT) images is necessary before the computer-aided diagnosis (CAD) of interstitial lung disease (ILD). Traditional methods are less intelligent and have lower accuracy of segmentation. This paper develops a novel automatic segmentation model...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2019-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2019/2045432 |