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Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in precise clinical decision making of the extent and nature of the diseases. Therefore, it is important for deve...
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| 出版年: | Comput Methods Biomech Biomed Eng Imaging Vis |
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| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5881940/ https://ncbi.nlm.nih.gov/pubmed/29623248 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/21681163.2015.1124249 |
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