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    Med Image Comput Comput Assist Interv. 2010;13(Pt 3):105-12.

    Standing on the shoulders of giants: improving medical image segmentation via bias correction.

    Wang H, Das S, Pluta J, Craige C, Altinay M, Avants B, Weiner M, Mueller S, Yushkevich P.

    Source

    Department of Radiology, University of Pennsylvania, USA.

    Abstract

    We propose a simple strategy to improve automatic medical image segmentation. The key idea is that without deep understanding of a segmentation method, we can still improve its performance by directly calibrating its results with respect to manual segmentation. We formulate the calibration process as a bias correction problem, which is addressed by machine learning using training data. We apply this methodology on three segmentation problems/methods and show significant improvements for all of them.

    PMID:
    20879389
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC3095022
    Free PMC Article

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