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» An Adaptive Level Set Method for Medical Image Segmentation
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ICIP
2005
IEEE
15 years 11 months ago
An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level s
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
Mohand Saïd Allili, Djemel Ziou
IPMI
2007
Springer
15 years 10 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
93
Voted
MICCAI
2005
Springer
15 years 10 months ago
Comparison of Vessel Segmentations Using STAPLE
We propose a novel method for the validation of vascular segmentations. Our technique combines morphological operators and the STAPLE algorithm to obtain ground truth of centerline...
Julien Jomier, Vincent LeDigarcher, Stephen R. Ayl...
ACCV
2010
Springer
14 years 4 months ago
Medical Image Segmentation Based on Novel Local Order Energy
Image segmentation plays an important role in many medical imaging systems, yet in complex circumstances it is still a challenging problem. Among many difficulties, problem caused ...
LingFeng Wang, Zeyun Yu, Chunhong Pan
EMMCVPR
2003
Springer
15 years 2 months ago
using Prior Shape and Points in Medical Image Segmentation
Abstract. In this paper we propose a new variational framework for image segmentation that incorporates the information of expected shape and a few points on the boundary into geod...
Yunmei Chen, Weihong Guo, Feng Huang, David Cliffo...