MIA
2010
13 years 7 months ago
2010
The automatic segmentation of the musculoskeletal system from medical images is a particularly challenging task, due to its morphological complexity, its large variability in the ...
GI
2009
Springer
13 years 10 months ago
2009
Springer
: Medical image segmentation often involves variants of deformable models to account for both the variability of object shapes and variation in image quality. Segmentation quality,...
BIBM
2009
IEEE
13 years 10 months ago
2009
IEEE
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
ICSAP
2010
14 years 4 months ago
2010
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
ECCV
2004
Springer
14 years 5 months ago
2004
Springer
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
CIS
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. In this paper, we present a novel multi-stage algorithm for 3D medical image segmentation that is inspired by an improved Fast Marching method and a morphological reconst...
ISVC
2009
Springer
14 years 7 months ago
2009
Springer
Energy functional minimization is a popular technique for medical image segmentation. The segmentation must be initialized, weights for competing terms of an energy functional must...
2
posts
with
1703
views
1703
views
Gerard Pons was born in Barcelona in 1984. He studied Telecommunications Engineering with emphasis in Communications at the Technical University of Catalonia (UPC).
From Sept. ...
0
posts
with
0
views
0
views
MICCAI
2005
Springer
15 years 1 months ago
2005
Springer
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...