MICCAI
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with loca...
MICCAI
2003
Springer
15 years 1 months ago
2003
Springer
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
MICCAI
2003
Springer
15 years 1 months ago
2003
Springer
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 ...
ICPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Statistical appearance models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with local appe...
MICCAI
2009
Springer
15 years 1 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
MICCAI
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content t...
CVPR
2005
IEEE
15 years 2 months ago
2005
IEEE
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
CVPR
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper, we propose a novel predictive model for
object boundary, which can integrate information from any
sources. The model is a dynamic “object” model whose
manifes...