Optimization of landmark selection for cortical surface registration
Manually labeled landmark sets are often required as inputs for landmark-based image registration. Identifying an optimal subset of landmarks from a training dataset may be useful in reducing the labor intensive task of manual labeling. In this paper, we present a new problem and a method to solve i...
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Published in | 2009 IEEE Conference on Computer Vision and Pattern Recognition Vol. 20-25; pp. 699 - 706 |
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Main Authors | , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
01.06.2009
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Subjects | |
Online Access | Get full text |
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