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    Putting images on a manifold for atlas-based image segmentation

    Cao, Y. and Yuan, Y. and Li, Xuelong and Yan, P. (2011) Putting images on a manifold for atlas-based image segmentation. In: UNSPECIFIED (ed.) IEEE International Conference on Image Processing. Institute of Electrical and Electronics Engineers, pp. 289-292. ISBN 9781457713040.

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    In medical image analysis, atlas-based segmentation has become a popular approach. Given a target image, how to select the atlases with the similar shape of anatomical structure to the input image is one of the most critical factors affecting the segmentation accuracy. In this paper, we propose a novel strategy by putting the images on a manifold to analyze the intrinsic similarity between the images. A subset of atlases can be selected and the optimal fusion weights are computed in a low-dimensional manifold space. Finally, it combines the selected atlases by using the corresponding weights for image segmentation. The experimental results demonstrated that our proposed method is robust and accurate especially when a large number of training samples are available.


    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 07 Jun 2013 10:01
    Last Modified: 11 Oct 2016 15:27


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