1. |
汪葛, 王远军. 基于水平集的牙齿CT图像分割技术. 计算机应用, 2016, 36(03): 827-832.
|
2. |
Dufour A, Shinin V, Tajbakhsh S, et al. Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces. IEEE Trans Image Process, 2005, 14(9): 1396-1410.
|
3. |
Heo H. Segmentation of tooth in CT images for the 3D reconstruction of teeth. Spie Proceedings, 2004, 5298(2): 157-160.
|
4. |
Xia Zeyang, Gan Yangzhou, Chang Lichao, et al. Individual tooth segmentation from CT images scanned with contacts of maxillary and mandible teeth. Comput Methods Programs Biomed, 2017, 138: 1-12.
|
5. |
Xia Zeyang, Gan Yangzhou, Xiong Jing, et al. Crown segmentation from computed tomography images with metal artifacts. IEEE Signal Process Lett, 2016, 23(5): 678-682.
|
6. |
Akhoondali H, Zoroofi R A, Shirani G. Rapid automatic segmentation and visualization of teeth in CT-scan data. J Appl Sci, 2009, 9(11): 2031-2044.
|
7. |
Zhang W. Algorithms of 3D segmentation and reconstruction based on teeth CBCT images. Lecture Notes in Electrical Engineering, 2011, 100: 713-720.
|
8. |
Gao Hui, Chae O. Individual tooth segmentation from CT images using level set method with shape and intensity prior. Pattern Recognit, 2010, 43(7): 2406-2417.
|
9. |
Gan Yangzhou, Xia Zeyang, Xiong Jing, et al. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model. Med Phys, 2015, 42(1): 14-27.
|
10. |
Ji Dongxu, Ong S H, Foong K W. A level-set based approach for anterior teeth segmentation in cone beam computed tomography images. Comput Biol Med, 2014, 50(1): 116-128.
|
11. |
Hosntalab M, Zoroofi R A, Tehrani-Fard A A, et al. Segmentation of teeth in CT volumetric dataset by panoramic projection and variational level set. Int J Comput Assist Radiol Surg, 2008, 3(3/4): 257-265.
|
12. |
王立新, 刘新新, 刘希云, 等. 基于区域自适应形变模型的CT图像牙齿结构测量方法研究. 生物医学工程学杂志, 2016, 33(2): 308-314.
|
13. |
Gan Y, Xia Z, Xiong J, et al. Angled tooth segmentation from computerized tomography images// 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Jeju Island, Korea: IEEE, 2017: 3413-3146.
|
14. |
Wang Li, He Lei, Mishra A, et al. Active contours driven by local Gaussian distribution fitting energy. Signal Process, 2009, 89(12): 2435-2447.
|
15. |
Chan T F, Vese L A. Active contours without edges. IEEE Trans Image Process, 2001, 10(2): 266-277.
|
16. |
Osher S, Sethian J A. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. J Comput Phys, 1988, 79(1): 12-49.
|
17. |
Li C, Kao C Y, Gore J C, et al. Implicit active contours driven by local binary fitting energy// 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, America: IEEE, 2007: 1-7.
|
18. |
Chen Y T, Tseng D C. Medical image segmentation based on the Bayesian level set method// Medical Imaging and Informatics Second International Conference. Beijing, China: SpringerLink, 2007: 25-34.
|
19. |
Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: A new variational formulation// IEEE Computer Society Conference on Computer Vision and Pattern Recognition. California, America: IEEE, 2005: 430-436.
|
20. |
Caselles V. Geometric models for active contours// Proceedings 1995 International Conference on Image Processing. Washington, America: IEEE, 1995: 9-12.
|