Use of the CANTOR system for collaborative learning in medical visual object recognition

  • Authors:

  • Hans H. K. Andersen;Verner Andersen;Birgit G. Skov

  • Affiliations:

  • Risø National Laboratory, Roskilde Denmark;Risø National Laboratory, Roskilde Denmark;Gentofte University Hospital, Gentofte, Denmark

  • Venue:
  • CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
  • Year:
  • 2002

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Abstract

This paper reports from a user requirement, design and evaluation study on supporting collaborative learning by visual perception in the medical education domain. The CANTOR (Converging Agreement by Networking Telematics for Object Recognition) system can briefly be described as a tool that support collaborative consensus making when classifying sets of medical images or objects in medical images An evaluation experiment showed that using CANTOR seems to give a better learning effect than by using traditional methods.