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ACIVS
2007
Springer
13 years 10 months ago
Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes
Abstract. In this work, we present two active shape models for the segmentation of tubular objects. The first model is built using cylindrical parameterization and minimum descrip...
Romulo Pinho, Jan Sijbers, Toon Huysmans
ICPR
2006
IEEE
13 years 10 months ago
A Statistical Assembled Model for Segmentation of Entire 3D Vasculature
We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically defor...
Judy Jun Feng, Horace Ho-Shing Ip
IPMI
2003
Springer
14 years 5 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
MICCAI
2004
Springer
14 years 5 months ago
Vessel Segmentation Using a Shape Driven Flow
Abstract. We present a segmentation method for vessels using an implicit deformable model with a soft shape prior. Blood vessels are challenging structures to segment due to their ...
Delphine Nain, Anthony J. Yezzi, Greg Turk
PAMI
2010
171views more  PAMI 2010»
13 years 3 months ago
Automatic Construction of Correspondences for Tubular Surfaces
Abstract— Statistical shape modeling is an established technique and is used for a variety of tasks in medical image processing, such as image segmentation and analysis. A challe...
Toon Huysmans, Jan Sijbers, Brigitte Verdonk