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CVPR
2012
IEEE
11 years 9 months 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....
CIS
2005
Springer
14 years 8 days ago
Medical Image Alignment by Normal Vector Information
In this paper, a new approach on image registration is presented. We introduce a novel conception- normal vector information (NVI) - to evaluate the similarity between two images. ...
Xiahai Zhuang, Lixu Gu, Jianfeng Xu
MICCAI
2010
Springer
13 years 4 months ago
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variabi...
Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, R...
ISBI
2009
IEEE
14 years 1 months ago
Nuclear Segmentation in Microscope Cell Images: A Hand-Segmented Dataset and Comparison of Algorithms
Image segmentation is an essential step in many image analysis pipelines and many algorithms have been proposed to solve this problem. However, they are often evaluated subjective...
Luís Pedro Coelho, Aabid Shariff, Robert F....
ISBI
2004
IEEE
14 years 7 months ago
A Template-Propagation Method for Segmentation of Filamentous Structures in Electron Tomograms
We report a method for semi-automated segmentation of extended features such as filamentous structures in electron tomograms. We present an application of this method for the auto...
Sriram Subramaniam, Peijun Zhang, David Germain, T...