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Web-based Annotation of
Cervicographic Medical Images
   High resolution

   Visual
    examination for
    cervical caner
   Design web-based application for textual and
    graphical annotation

   Enhance indexing, storage and retrieval of
    cervicographic images
   Open source survey
    application

   Customizable
   19 Question system with
    logic tree for each
    question

   5 Cervigrams per survey

   Reference image guided
    showing positive and
    negative

   Login-in system for user
    anonymity

   Enlarge for all images
   Contain positive and
    negative images

   Word explanations

   In-screen pop up via
    Lightbox
    MySQL database
    for answer and
    time logs

    Imported to
    Excel
    spreadsheets
   Graphical response
    via an ellipse
    annotation tool

   Supplements
    current textual
    response in web-
    based application

   Encircle regions of
    interest on
    cervicographic
    images
   Image-based query to databases

   More precise searches and more consistent results

   Research and educational collaboration

   Visual data contains more information than textual
    descriptors
   Scalable Vector Graphics (SVG)
       Two-dimensional graphics in XML
       Supported by most browsers


   Embedded within HTML
       Supports scripting
       Web-based interaction
   Intuitive, shallow learning curve

   Two different designs
       Dynamic Centroid
       Static Centroid
Acknowledgements
            Research advisor: George Nagy
            Research assistant: Kathryn Celentano
            Research assistant: Mike Ding
            RCOS: Sean O' Sullivan, Moorthy
            National Science Foundation
            National Library of Medicine




Thank you

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Cervitor presentation v4

  • 2. High resolution  Visual examination for cervical caner
  • 3. Design web-based application for textual and graphical annotation  Enhance indexing, storage and retrieval of cervicographic images
  • 4. Open source survey application  Customizable
  • 5. 19 Question system with logic tree for each question  5 Cervigrams per survey  Reference image guided showing positive and negative  Login-in system for user anonymity  Enlarge for all images
  • 6.
  • 7. Contain positive and negative images  Word explanations  In-screen pop up via Lightbox
  • 8. MySQL database for answer and time logs  Imported to Excel spreadsheets
  • 9. Graphical response via an ellipse annotation tool  Supplements current textual response in web- based application  Encircle regions of interest on cervicographic images
  • 10. Image-based query to databases  More precise searches and more consistent results  Research and educational collaboration  Visual data contains more information than textual descriptors
  • 11. Scalable Vector Graphics (SVG)  Two-dimensional graphics in XML  Supported by most browsers  Embedded within HTML  Supports scripting  Web-based interaction
  • 12. Intuitive, shallow learning curve  Two different designs  Dynamic Centroid  Static Centroid
  • 13. Acknowledgements Research advisor: George Nagy Research assistant: Kathryn Celentano Research assistant: Mike Ding RCOS: Sean O' Sullivan, Moorthy National Science Foundation National Library of Medicine Thank you