3367 search results - page 209 / 674 » Image Segmentation By Learning Approach |
159
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MICCAI
2009
Springer
16 years 7 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
170
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MICCAI
2006
Springer
16 years 7 months ago
2006
Springer
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
157
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MICCAI
2002
Springer
16 years 7 months ago
2002
Springer
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
257
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
Multi-modal image registration is a challenging problem in medical imaging. The goal is to align anatomically identical structures; however, their appearance in images acquired wit...
203
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...