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Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography
Purpose: Classic encoder–decoder-based convolutional neural network (EDCNN) approaches cannot accurately segment detailed anatomical structures of the mandible in computed tomography (CT), for instance, condyles and coronoids of the mandible, which are often affected by noise and metal artifacts. Th...
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| Yayımlandı: | J Pers Med |
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| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8229770/ https://ncbi.nlm.nih.gov/pubmed/34072714 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm11060492 |
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