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» A learning based hierarchical model for vessel segmentation
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ECCV
2010
Springer
14 years 4 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
ICPR
2008
IEEE
14 years 5 months ago
Real-time update of 3D deformable models for computer aided liver surgery
Providing accurate image-guidance for soft-tissue interventions remains a complex task. Most of the time, preoperative models and planning data are no more valid during the surgic...
Benoît Dagon, Charles Baur, Vincent Bettscha...
ISBI
2009
IEEE
14 years 5 months ago
A New Interactive Method for Coronary Arteries Segmentation Based on Tubular Anisotropy
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images. The ...
Fethallah Benmansour, Laurent D. Cohen
ICCV
2001
IEEE
15 years 23 days ago
Flux Maximizing Geometric Flows
Several geometric active contour models have been proposed for segmentation in computer vision. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constrai...
Alexander Vasilevskiy, Kaleem Siddiqi
BILDMED
2008
105views Algorithms» more  BILDMED 2008»
14 years 9 days ago
Curvature- and Model-Based Hatching of Patient-Specific Muscle Surfaces
Abstract. In this paper, we introduce a new method for hatching patient-specific, anatomic 3D surface models, in particular hatching of muscle surfaces. However, the method is tran...
Christian Tietjen, Rocco Gasteiger, Alexandra Baer...