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Cervitor presentation v4


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medicine nih nlim

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Cervitor presentation v4

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