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    • 39-Issue 1
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    Reducing Affective Responses to Surgical Images and Videos Through Stylization

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    Date
    2020
    Author
    Besançon, Lonni ORCID
    Semmo, Amir ORCID
    Biau, David
    Frachet, Bruno
    Pineau, Virginie
    Sariali, El Hadi
    Soubeyrand, Marc
    Taouachi, Rabah
    Isenberg, Tobias ORCID
    Dragicevic, Pierre
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    Abstract
    We present the first empirical study on using colour manipulation and stylization to make surgery images/videos more palatable. While aversion to such material is natural, it limits many people's ability to satisfy their curiosity, educate themselves and make informed decisions. We selected a diverse set of image processing techniques to test them both on surgeons and lay people. While colour manipulation techniques and many artistic methods were found unusable by surgeons, edge‐preserving image smoothing yielded good results both for preserving information (as judged by surgeons) and reducing repulsiveness (as judged by lay people). We then conducted a second set of interview with surgeons to assess whether these methods could also be used on videos and derive good default parameters for information preservation. We provide extensive supplemental material at .
    BibTeX
    @article {10.1111:cgf.13886,
    journal = {Computer Graphics Forum},
    title = {{Reducing Affective Responses to Surgical Images and Videos Through Stylization}},
    author = {Besançon, Lonni and Semmo, Amir and Biau, David and Frachet, Bruno and Pineau, Virginie and Sariali, El Hadi and Soubeyrand, Marc and Taouachi, Rabah and Isenberg, Tobias and Dragicevic, Pierre},
    year = {2020},
    publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13886}
    }
    URI
    https://doi.org/10.1111/cgf.13886
    https://diglib.eg.org:443/handle/10.1111/cgf13886
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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