1135 search results - page 59 / 227 » A probabilistic framework for image segmentation |
116
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MICCAI
2003
Springer
16 years 4 months ago
2003
Springer
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
95
Voted
IPMI
2005
Springer
16 years 4 months ago
2005
Springer
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
126
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
161
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IJCV
2000
15 years 3 months ago
2000
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
138
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CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...