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» Active Volume Models for 3D Medical Image Segmentation
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MICCAI
2003
Springer
14 years 8 months ago
Quantifying Evolving Processes in Multimodal 3D Medical Images
Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses a...
Yuhang Wang, Tilmann Steinberg, Fillia Makedon, Ja...
ICPR
2000
IEEE
13 years 12 months ago
Discriminant Snakes for 3D Reconstruction in Medical Images
In this work we proposea new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classica...
Xose Manuel Pardo, Petia Radeva
MICCAI
2005
Springer
14 years 8 months ago
MRA Image Segmentation with Capillary Active Contour
Abstract. Precise segmentation of three-dimensional (3D) magnetic resonance angiography (MRA) image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. O...
Pingkun Yan, Ashraf A. Kassim
TMI
2002
147views more  TMI 2002»
13 years 7 months ago
Cortex Segmentation - A Fast Variational Geometric Approach
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
IPMI
2003
Springer
14 years 22 days ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan