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» Segmentation of medical images using a genetic algorithm
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TIP
2010
162views more  TIP 2010»
15 years 1 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
ICIP
2005
IEEE
16 years 8 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
MICCAI
2002
Springer
16 years 7 months ago
Using Points and Surfaces to Improve Voxel-Based Non-rigid Registration
Voxel-based non-rigid registration algorithms have been successfully applied to a wide range of image types. However, in some cases the registration of quite different images, e.g....
Thomas Hartkens, Derek L. G. Hill, Andy D. Castell...
ISBI
2009
IEEE
16 years 1 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CVBIA
2005
Springer
16 years 4 days ago
Segmenting Cardiopulmonary Images Using Manifold Learning with Level Sets
Cardiopulmonary imaging is a key tool in modern diagnostic and interventional medicine. Automated analysis of MRI or ultrasound video is complicated by limitations on the image qua...
Qilong Zhang, Robert Pless