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» Active Volume Models for 3D Medical Image Segmentation
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MICCAI
2008
Springer
14 years 6 months ago
3D Brain Segmentation Using Active Appearance Models and Local Regressors
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
CBMS
2007
IEEE
13 years 12 months ago
Segmentation and Tracking of the Left Ventricle in 3D MRI Sequences Using an Active Surface Model
We describe a 3D+T active surface model for segmentation and tracking of the left ventricular endocardium within 3D MRI sequences of the cardiac cycle. In order to perform segment...
Julien Mille, Romuald Boné, Pascal Makris, ...
BMVC
2001
13 years 8 months ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
ISBI
2007
IEEE
13 years 12 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
CVBIA
2005
Springer
13 years 11 months ago
Segmentation of 3D CT Volume Images Using a Single 2D Atlas
Segmentation of medical images is an important first step in the analysis of medical images. A lot of research has been performed on the segmentation of complex CT/MR images using...
Feng Ding, Wee Kheng Leow, Shih-Chang Wang