Toward Accurate Tooth Segmentation from Computed Tomography Images Using a Hybrid Level Set Model
文献类型：期刊论文
| 作者 | Yang Gan; Zeyang Xia; Jing Xiong; Qunfei Zhao; Ying Hu; Jianwei Zhang |
| 刊名 | Medical Physics
 |
| 出版日期 | 2015 |
| 英文摘要 | A three-dimensional (3D) model of the teeth provides important information for orthodontic diagnosis and treatment planning. Tooth segmentation is an essential step in generating the 3D digital model from computed tomography (CT) images. The aim of this study is to develop an accurate and efficient tooth segmentation method from CT images. |
| 收录类别 | SCI |
| 原文出处 | http://scitation.aip.org/content/aapm/journal/medphys/42/1/10.1118/1.4901521 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6608]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | Medical Physics |
| 推荐引用方式 GB/T 7714 | Yang Gan,Zeyang Xia,Jing Xiong,et al. Toward Accurate Tooth Segmentation from Computed Tomography Images Using a Hybrid Level Set Model[J]. Medical Physics,2015. |
| APA | Yang Gan,Zeyang Xia,Jing Xiong,Qunfei Zhao,Ying Hu,&Jianwei Zhang.(2015).Toward Accurate Tooth Segmentation from Computed Tomography Images Using a Hybrid Level Set Model.Medical Physics. |
| MLA | Yang Gan,et al."Toward Accurate Tooth Segmentation from Computed Tomography Images Using a Hybrid Level Set Model".Medical Physics (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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