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» An Adaptive Level Set Method for Medical Image Segmentation
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ISBI
2008
IEEE
15 years 10 months ago
Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI
An automated, level-set based, segmentation framework is proposed in this work for computation of tumoral volumes on mice brain bearing gliomal tumors. T1 and T2 weighted MRI imag...
Vincent Israel-Jost, E. Breton, Elsa D. Angelini, ...
MICCAI
2008
Springer
15 years 10 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...
CVPR
2009
IEEE
16 years 4 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
15 years 4 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
MICCAI
2003
Springer
15 years 10 months ago
Drusen Detection in a Retinal Image Using Multi-level Analysis
This paper concerns a method to automatically detect drusen in a retinal image without human supervision or interaction. We use a multi-level approach, beginning with classificatio...
Lee Brandon, Adam Hoover