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MICCAI
2002
Springer
16 years 7 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
IPMI
2005
Springer
16 years 7 months ago
Design of Robust Vascular Tree Matching: Validation on Liver
Abstract. In this paper, we propose an original and efficient tree matching algorithm for intra-patient hepatic vascular system registration. Vascular systems are segmented from CT...
Arnaud Charnoz, Vincent Agnus, Grégoire Mal...
ACIVS
2007
Springer
16 years 22 days ago
Grass Detection for Picture Quality Enhancement of TV Video
Current image enhancement in televisions can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with specifically optimized alg...
Bahman Zafarifar, Peter H. N. de With
CVPR
2011
IEEE
14 years 10 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
ICIP
2008
IEEE
16 years 8 months ago
Voting-based active contour segmentation of fMRI images of the brain
We propose an algorithm for automated segmentation of white matter in brain MRI images, which can be used to create connected representations of the gray matter in the cerebral co...
Gowri Srinivasa, Vivek S. Oak, Siddharth J. Garg, ...