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CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
MICCAI
2009
Springer
14 years 4 months ago
Mesh Generation from 3D Multi-material Images
Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing a...
Dobrina Boltcheva, Mariette Yvinec, Jean-Daniel Bo...
MICCAI
2003
Springer
14 years 8 months ago
Segmenting 3D Branching Tubular Structures Using Cores
Blood vessels and other anatomic objects in the human body can be described as trees of branching tubes. The focus of this paper is the extraction of the branching geometry in 3D, ...
Yonatan Fridman, Stephen M. Pizer, Stephen R. Aylw...
MICCAI
2003
Springer
14 years 8 months ago
Hierarchical Segmentation of Thin Structures in Volumetric Medical Images
We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment mea...
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
MICCAI
2005
Springer
14 years 8 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...