Title
Crown Segmentation From Computed Tomography Images With Metal Artifacts.
Abstract
Tooth segmentation from dental computed tomography (CT) images with metal artifacts is challenging as metal artifacts make some of the crown boundaries unrecognizable. This letter proposes a semiautomatic method for crown segmentation from CT images with metal artifacts. A user manually selects a starting slice and initializes this slice. Then crown contours are segmented automatically from volume...
Year
DOI
Venue
2016
10.1109/LSP.2016.2545702
IEEE Signal Processing Letters
Keywords
Field
DocType
Image segmentation,Metals,Teeth,Computed tomography,Level set,Radon,Transforms
Volumetric CT,Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Level set,Image segmentation,Computed tomography,Artificial intelligence,Radon transform,Mathematics
Journal
Volume
Issue
ISSN
23
5
1070-9908
Citations 
PageRank 
References 
3
0.43
9
Authors
5
Name
Order
Citations
PageRank
Zeyang Xia12812.04
Yangzhou Gan2337.04
Jing Xiong3187.00
Zhao Qunfei4215.94
Jie Chen530.77