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» Noisy Image Segmentation Based on a Level Set Evolution
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ISBI
2009
IEEE
15 years 6 months ago
Accurate and Fast 3D Colon Segmentation in CT Colonography
This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liq...
Dongqing Chen, Rachid Fahmi, Aly A. Farag, Robert ...
MICCAI
2004
Springer
16 years 18 days ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...
TITB
2002
172views more  TITB 2002»
14 years 11 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 3 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
ICASSP
2008
IEEE
15 years 6 months ago
Functional semi-automated segmentation of renal DCE-MRI sequences
In dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), segmentation of internal kidney structures like cortex, medulla and pelvo-caliceal cavities is necessary for fun...
Beatrice Chevaillier, Yannick Ponvianne, Jean-Luc ...