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» An Adaptive Level Set Method for Medical Image Segmentation
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ISBI
2009
IEEE
15 years 4 months ago
A Classifier Ensemble Based on Performance Level Estimation
In this paper, we introduce a new classifier ensemble approach, applied to tissue segmentation in optical images of the uterine cervix. Ensemble methods combine the predictions o...
Wei Wang, Yaoyao Zhu, Xiaolei Huang, Daniel P. Lop...
86
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ICPR
2000
IEEE
15 years 10 months ago
Cooperation between Level Set Techniques and Dense 3D Registration for the Segmentation of Brain Structures
This paper presents a cooperative strategy between volumetric registration and segmentation. The segmentation method is based on the level set formalism. Starting from an initial ...
C. Baillard, Pierre Hellier, Christian Barillot
MICCAI
2003
Springer
15 years 10 months ago
Interactive, GPU-Based Level Sets for 3D Segmentation
While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow ...
Aaron E. Lefohn, Joshua E. Cates, Ross T. Whitaker
MICCAI
2005
Springer
15 years 10 months ago
Segmentation of Neighboring Organs in Medical Image with Model Competition
Abstract. This paper presents a novel approach for image segmentation by introducing competition between neighboring shape models. Our method is motivated by the observation that e...
Pingkun Yan, Weijia Shen, Ashraf A. Kassim, Mubara...

Publication
202views
16 years 6 months ago
Distance-based Speed Functions for Level Set Methods in Image Segmentation
"Level set methods are a well-known means for the segmentation of objects in image data. In this paper, we discuss a class of easy to calculate terms based on distance measure...
Karsten Rink and Klaus Tonnies