Sciweavers

500 search results - page 51 / 100
» using Prior Shape and Points in Medical Image Segmentation
Sort
View
CVPR
2005
IEEE
16 years 7 months ago
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
Tianli Yu, Jiebo Luo, Narendra Ahuja
MICCAI
2003
Springer
16 years 6 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
2003
Springer
16 years 6 months ago
Establishing Local Correspondences towards Compact Representations of Anatomical Structures
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
ECCV
2000
Springer
16 years 7 months ago
Model-Based Initialisation for Segmentation
The initialisation of segmentation methods aiming at the localisation of biological structures in medical imagery is frequently regarded as a given precondition. In practice, howev...
Christian Brechbühler, Gábor Szé...
ICPR
2008
IEEE
16 years 8 days ago
A novel automatic seed point selection algorithm for breast ultrasound images
Region growing is a frequently used segmentation method for medical ultrasound images processing. The first step of region growing is selecting the seed point which is inside the ...
Juan Shan, Heng-Da Cheng, Yuxuan Wang