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» 3D Brain Tumor Segmentation Using Level-Sets Method
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ICIP
2003
IEEE
14 years 9 months ago
Statistical atlas-based sub-voxel segmentation of 3D brain MRI
We present a 3D brain MRI segmentation method in which a high resolution label image evolves under the influence of multiple constraints. The constraints are expressed in a versat...
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
VISUALIZATION
2002
IEEE
14 years 16 days ago
Level-Set Segmentation From Multiple Non-Uniform Volume Datasets
Typically 3-D MR and CT scans have a relatively high resolution in the scanning X;Y plane, but much lower resolution in the axial Z direction. This non-uniform sampling of an obje...
Ken Museth, David E. Breen, Leonid Zhukov, Ross T....
ICSAP
2010
13 years 11 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
T. Logeswari, M. Karnan
ICIP
2005
IEEE
14 years 1 months ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran
MICCAI
2003
Springer
14 years 8 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...