• Login
    View Item 
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Computational Perception & Robotics
    • View Item
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Computational Perception & Robotics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Automated surgical OSATS prediction from videos

    Thumbnail
    View/Open
    2014-Sharma-ASOPFV.pdf (1.696Mb)
    Date
    2014-04
    Author
    Sharma, Yachna
    Plötz, Thomas
    Hammerla, Nils
    Mello, Sebastian
    McNaney, Roisin
    Olivier, Patrick
    Deshmukh, Sandeep
    McCaskie, Andrew
    Essa, Irfan
    Metadata
    Show full item record
    Abstract
    The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time consuming and often their outcomes vary substantially from one observer to another. We present a video-based framework for automated evaluation of surgical skills based on the Objective Structured Assessment of Technical Skills (OSATS) criteria. We encode the motion dynamics via frame kernel matrices, and represent the motion granularity by texture features. Linear discriminant analysis is used to derive a reduced dimensionality feature space followed by linear regression to predict OSATS skill scores. We achieve statistically significant correlation (p-value <0.01) between the ground-truth (given by domain experts) and the OSATS scores predicted by our framework.
    URI
    http://hdl.handle.net/1853/53658
    Collections
    • Computational Perception & Robotics [213]
    • Computational Perception & Robotics Publications [213]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology