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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...
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| 出版年: | Biomed Res Int |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6907046/ https://ncbi.nlm.nih.gov/pubmed/31871932 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/2045432 |
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