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IPMI
2011
Springer
14 years 1 months ago
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
Dongfeng Han, John E. Bayouth, Qi Song, Aakant Tau...
CVPR
2004
IEEE
15 years 11 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
ICML
2010
IEEE
14 years 10 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
CVPR
2004
IEEE
15 years 11 months ago
Globally Optimal Segmentation of Interacting Surfaces with Geometric Constraints
Abstract-- Efficient detection of globally optimal surfaces representing object boundaries in volumetric datasets is important and remains challenging in many medical image analysi...
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
PAMI
2006
135views more  PAMI 2006»
14 years 9 months ago
Real-Time Range Acquisition by Adaptive Structured Light
The goal of this paper is to provide a "self-adaptive" system for real-time range acquisition. Reconstructions are based on a single frame structured light illumination. ...
Thomas P. Koninckx, Luc J. Van Gool