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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 8 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 16 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