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» Active Volume Models for Medical Image Segmentation
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140
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ISBI
2007
IEEE
15 years 10 months ago
Localizing Amygdala Structure Differences in Late-life Depression
The amygdala is critical for processing emotional information and plays an important role in late-life depression (LLD). Volumetric studies of the amygdala have been inconclusive ...
Robert J. Tamburo, Greg J. Siegle, George D. Stett...
147
Voted
MICCAI
1999
Springer
15 years 8 months ago
3D Image Matching Using a Finite Element Based Elastic Deformation Model
We present a new approach for the computation of the deformation field between three dimensional (3D) images. The deformation field minimizes the sum of the squared differences b...
Matthieu Ferrant, Simon K. Warfield, Charles R. G....
153
Voted
MICCAI
2004
Springer
16 years 4 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
101
Voted
FIMH
2003
Springer
15 years 9 months ago
A Levelset Based Method for Segmenting the Heart in 3D+T Gated SPECT Images
Keywords Levelset methods were introduced in medical images segmentation by Malladi et al in 1995. In this paper, we propose several improvements of the original method to speed u...
Arnaud Charnoz, Diane Lingrand, Johan Montagnat
161
Voted
ICPR
2002
IEEE
15 years 8 months ago
Image Segmentation Using Gradient Vector Diffusion and Region Merging
Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. However, traditional snake models prove to be limited in several aspects...
Zeyun Yu, Chandrajit L. Bajaj