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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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| Pubblicato in: | Comput Methods Biomech Biomed Eng Imaging Vis |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | 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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