69 search results - page 7 / 14 » A segmentation method using compound Markov random fields ba... |
CSB
2004
IEEE
13 years 11 months ago
2004
IEEE
There is considerable interest in computational methods to assist in the use of genetic polymorphism data for locating disease-related genes. Haplotypes, contiguous sets of correl...
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
A novel video object segmentation method is proposed which aims at combining color and motion information. The model has a multilayer structure: Each feature has its own layer, cal...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...