Introducing automated melanoma detection in a topic map based image retrieval system

  • Authors:
  • A. Papastergiou;A. Hatzigaidas;Z. Zaharis;G. Tryfon;K. Moustakas;D. Ioannidis

  • Affiliations:
  • Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Macedonia, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Macedonia, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Macedonia, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Macedonia, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Macedonia, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Macedonia, Greece

  • Venue:
  • ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
  • Year:
  • 2007

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Abstract

Early diagnosis is the most reliable solution for an effective treatment of melanoma. There is an ongoing research effort to develop computer aided imaging tools and functional content-based image retrieval systems as diagnostic support to dermatologists. Following this spirit, a Topic Map based management and retrieval system for melanoma images has been developed. Currently, this research work focuses on developing 'ABCD' calculation program for Automated Melanoma Detection and employing it in the TM-based system. This paper introduces the design and methodology towards this direction.