Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space

doi:10.1016/j.gmod.2020.101071

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space
	Zhang, Jianda 2,3; Li, Chunpeng 3; Song, Qiang 3; Gao, Lin 3,4; Lai, Yu-Kun 1
刊名	GRAPHICAL MODELS
	2020-05-01
卷号	109 页码:10
关键词	Tooth segmentation Convolutional neural networks Dental mesh Maximum flow Surface parameterization
ISSN号	1524-0703
DOI	10.1016/j.gmod.2020.101071
英文摘要	Automatic segmentation of 3D tooth models into individual teeth is an important step in orthodontic CAD systems. 3D tooth segmentation is a mesh instance segmentation task. Complex geometric features on the surface of 3D tooth models often lead to failure of tooth boundary detection, so it is difficult to achieve automatic and accurate segmentation by traditional mesh segmentation methods. We propose a novel solution to address this problem. We map a 3D tooth model isomorphically to a 2D harmonic parameter space and convert it into an image. This allows us to use a CNN to learn a highly robust image segmentation model to achieve automated and accurate segmentation of 3D tooth models. Finally, we map the image segmentation mask back to the 3D tooth model and refine the segmentation result using an improved Fuzzy-Clustering-and-Cuts algorithm. Our method has been incorporated into an orthodontic CAD system, and performs well in practice.
资助项目	Science and Technology Service Network Initiative[KFJ-STS-ZDTP-070] ; Science and Technology Service Network Initiative[KFJ-STS-QYZD-129] ; National Key R&D Program of China[2018AAA0103002] ; Royal Society Newton Advanced Fellowship[NAF\R2\192151] ; Shenzhen Research Institute of Big Data[2019ORF01013]
WOS研究方向	Computer Science
语种	英语
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
WOS记录号	WOS:000536855200005
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/15330]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Jianda
作者单位	1.Cardiff Univ, Sch Comp Sci & Informat, Cardiff, Wales 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 4.Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jianda,Li, Chunpeng,Song, Qiang,et al. Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space[J]. GRAPHICAL MODELS,2020,109:10.
APA	Zhang, Jianda,Li, Chunpeng,Song, Qiang,Gao, Lin,&Lai, Yu-Kun.(2020).Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space.GRAPHICAL MODELS,109,10.
MLA	Zhang, Jianda,et al."Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space".GRAPHICAL MODELS 109(2020):10.