3D automatic anatomy segmentation based on graph cut-oriented active appearance models
Proceedings of the 2010 IEEE 17th International Conference on Image Processing (ICIP), 3653–3656
Abstract
An abstract is not available in the lab archive. View the paper at its source.
This 2010 IEEE International Conference on Image Processing paper presents a 3D anatomy-segmentation method combining graph-cut optimization with oriented active appearance models.
Summary
The paper proposes a method for 3D anatomy segmentation that combines graph cuts with oriented active appearance models. Its title, author order, conference, year, and page range are verified in the DBLP publication record.
- Authors: Xinjian Chen, Jianhua Yao, Ying Zhuge, and Ulas Bagci.
- Venue: Proceedings of the 2010 IEEE 17th International Conference on Image Processing (ICIP), pages 3653–3656.
- DOI: 10.1109/ICIP.2010.5652101.
Cite this work
Xinjian Chen; Jianhua Yao; Ying Zhuge; Ulas Bagci (2010). 3D automatic anatomy segmentation based on graph cut-oriented active appearance models. Proceedings of the 2010 IEEE 17th International Conference on Image Processing (ICIP), 3653–3656 https://doi.org/10.1109/ICIP.2010.5652101
BibTeX