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ICPR
2000
IEEE
13 years 12 months ago
Discriminant Snakes for 3D Reconstruction in Medical Images
In this work we proposea new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classica...
Xose Manuel Pardo, Petia Radeva
SCIA
2005
Springer
186views Image Analysis» more  SCIA 2005»
14 years 29 days ago
Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
Diane Lingrand, Johan Montagnat
MICCAI
2009
Springer
14 years 4 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
ECCV
2010
Springer
13 years 7 months ago
Adaptive Metric Registration of 3D Models to Non-rigid Image Trajectories
Abstract. This paper addresses the problem of registering a 3D model, represented as a cloud of points lying over a surface, to a set of 2D deforming image trajectories in the imag...
Alessio Del Bue
IPMI
2001
Springer
14 years 8 months ago
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...