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» Shape-Based Level Set Method for Image Segmentation
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MICCAI
2003
Springer
15 years 10 months ago
Extraction and Application of Expert Priors to Combine Multiple Segmentations of Human Brain Tissue
Abstract. This paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
ICCV
1998
IEEE
15 years 11 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
CVPR
2012
IEEE
13 years 8 days ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
ICIP
2006
IEEE
15 years 11 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
MICCAI
2005
Springer
15 years 10 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...