63 search results - page 2 / 13 » Segmentation of biomedical images with eigenvectors |
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...
MM
2000
ACM
13 years 9 months ago
2000
ACM
Searching digital biomedical images is a challenging problem. Prevalent retrieval techniques involve human-supplied text annotations to describe image contents. Biomedical images,...
PAMI
2007
13 years 4 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Three different systematic approaches to generate multiple classifiers in atlas-based biomedical image segmentation are compared. Different atlases, as well as different parametri...
ISBI
2004
IEEE
2004
IEEE
Performance-Based Multi-Classifier Decision Fusion for Atlas-Based Segmentation of Biomedical Images
14 years 5 months ago
Combinations of multiple classifiers have been found to be consistently more accurate than a single classifier. The construction of multiple independent classifiers, however, is t...