582 search results - page 2 / 117 » Supervised methods for perfect segmentation in medical image... |
MICCAI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut cr...
MICCAI
2002
Springer
14 years 5 months ago
2002
Springer
A large number of test images and their "ground truth" segmentations are needed for performance characterization of the many image segmentation methods. In this work we ...
SIAMIS
2008
13 years 4 months ago
2008
One of the central problems of medical imaging is the 3D visualization of body parts. The 3D volume can be viewed in slices, but the extraction of a part requires a segmentation p...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length ...