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» 3D Brain Tumor Segmentation Using Level-Sets Method
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MICCAI
2004
Springer
14 years 7 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
ICCV
2007
IEEE
14 years 8 months ago
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi ...
MICCAI
2008
Springer
14 years 8 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
ICCV
2005
IEEE
14 years 8 months ago
A Shape-Based Segmentation Approach: An Improved Technique Using Level Sets
We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...
Hossam E. Abd El Munim, Aly A. Farag
MICCAI
2008
Springer
14 years 8 months ago
Level Set Based Surface Capturing in 3D Medical Images
Brain aneurysm rupture has been reported to be directly related to the size of aneurysms. The current method used to determine aneurysm size is to manually measure the width of th...
Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanle...