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CVPR
2011
IEEE
14 years 2 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 1 days 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, ...
ISBI
2002
IEEE
15 years 11 months ago
Model-based segmentation of cardiac and vascular images
Wiro J. Niessen, Cornelis M. van Bemmel, Alejandro...
ICIAR
2010
Springer
14 years 7 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
HISB
2011
92views more  HISB 2011»
13 years 10 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...