Integration of Topological Constraints in Medical Image Segmentation-Reference-Cited by-同舟云学术

Integration of Topological Constraints in Medical Image Segmentation

Published:2015 Issue: Volume: Page:245-262
ISSN:
Container-title:Handbook of Biomedical Imaging
language:
Short-container-title:

Author:

Ségonne F.,Fischl B.

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-09749-7_13

Reference59 articles.

1. Y. Bai, X. Han, and J. Prince. Octree-based topology-preserving iso-surface simplification. In MMBIA, 2006.

2. Y. Bai, X. Han, and J. Prince. Octree grid topology preserving geometric deformable models for 3d medical image segmentation. In International Conference on Information Processing in Medical Imaging, 2007.

3. P. Bazin and P. D.L. Topology preserving tissue classification with fast marching and topology templates. International Conference on Information Processing in Medical Imaging, pages 234–245, 2005.

4. P. Bazin, L. Ellingsen, and D. Pham. Digital homeomorphisms in deformable registration. In International Conference on Information Processing in Medical Imaging, 2007.

5. P. Bazin and D. Pham. Statistical and topological atlas based brain image segmentation. In Medical Image Computing and Computer-Assisted Intervention, 2007.

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