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    Uncertainty-aware Visualization in Medical Imaging - A Survey

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    Date
    2021
    Author
    Gillmann, Christina
    Saur, Dorothee
    Wischgoll, Thomas
    Scheuermann, Gerik ORCID
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    Abstract
    Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by uncertainty, which can highly influence the decision-making process of clinicians. Visualization can help in understanding and communicating these uncertainties. In this manuscript, we aim to summarize the current state-of-the-art in uncertainty-aware visualization in medical imaging. Our report is based on the steps involved in medical imaging as well as its applications. Requirements are formulated to examine the considered approaches. In addition, this manuscript shows which approaches can be combined to form uncertainty-aware medical imaging pipelines. Based on our analysis, we are able to point to open problems in uncertainty-aware medical imaging.
    BibTeX
    @article {10.1111:cgf.14333,
    journal = {Computer Graphics Forum},
    title = {{Uncertainty-aware Visualization in Medical Imaging - A Survey}},
    author = {Gillmann, Christina and Saur, Dorothee and Wischgoll, Thomas and Scheuermann, Gerik},
    year = {2021},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.14333}
    }
    URI
    https://doi.org/10.1111/cgf.14333
    https://diglib.eg.org:443/handle/10.1111/cgf14333
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA