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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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ICASSP
2011
IEEE
12 years 11 months ago
Semi-automatic 2D to 3D image conversion using a hybrid Random Walks and graph cuts based approach
In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth ...
Raymond Phan, Richard Rzeszutek, Dimitrios Androut...
ISVC
2007
Springer
14 years 1 months ago
SketchSurfaces: Sketch-Line Initialized Deformable Surfaces for Efficient and Controllable Interactive 3D Medical Image Segmenta
We present an intuitive, fast and accurate interactive segmentation method for visualizing and analyzing 3D medical images. Our method combines a general deformable subdivision-sur...
Meisam Aliroteh, Tim McInerney
EMMCVPR
2005
Springer
14 years 1 months ago
A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images
Abstract. We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constr...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
CVPR
2009
IEEE
15 years 2 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...
IPMI
2003
Springer
14 years 8 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...