Cervitor presentation v4
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Cervitor presentation v4

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medicine nih nlim

medicine nih nlim

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Cervitor presentation v4 Cervitor presentation v4 Presentation Transcript

  • Web-based Annotation ofCervicographic 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 MedicineThank you