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Fully automated quantitative cephalometry using convolutional neural networks
Quantitative cephalometry plays an essential role in clinical diagnosis, treatment, and surgery. Development of fully automated techniques for these procedures is important to enable consistently accurate computerized analyses. We study the application of deep convolutional neural networks (CNNs) fo...
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| Yayımlandı: | J Med Imaging (Bellingham) |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Society of Photo-Optical Instrumentation Engineers
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5220585/ https://ncbi.nlm.nih.gov/pubmed/28097213 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.1.014501 |
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