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TIP
2008
116views more  TIP 2008»
14 years 11 months ago
Self-Repelling Snakes for Topology-Preserving Segmentation Models
The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
Carole Le Guyader, Luminita A. Vese
107
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TMI
2011
154views more  TMI 2011»
14 years 6 months ago
Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach
Abstract—Optical Coherence Tomography (OCT) is a noninvasive, depth-resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present a semiautoma...
Azadeh Yazdanpanah, Ghassan Hamarneh, Benjamin R. ...
ISBI
2006
IEEE
16 years 14 days ago
Sketch initialized Snakes for rapid, accurate and repeatable interactive medical image segmentation
We combine a pen and pressure-sensitive tablet input device, and a sketch-based user initialization process, with a general subdivisioncurve Snake to create an intuitive, fast, ac...
Tim McInerney, M. Reza Akhavan Sharif
91
Voted
CVPR
2007
IEEE
16 years 1 months ago
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
Pengdong Xiao, Nick Barnes, Tibério S. Caet...
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...