66 search results - page 13 / 14 » An SVM Confidence-Based Approach to Medical Image Annotation |
161
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PRIB
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
97
Voted
CVBIA
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
72
Voted
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient ba...
130
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CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
114
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MICCAI
2009
Springer
16 years 25 days ago
2009
Springer
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...