An internet-based melanoma diagnostic system - Toward the practical application -

H. Iyatomi, H. Oka, M. Hashimoto, M. Tanaka, K. Ogawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we report a practical application of world's first internet-based melanoma diagnostic system. The system is now available from all over the world, 24 hours 365 days. As key components of this system, we developed a new dermatologist-like tumor area extraction algorithm and an artificial neural network (ANN) classifier. Our dermatologist-like tumor area extraction algorithm achieved superior extraction performance and the ANN classifier achieved classification accuracy of 97.3% in sensitivity and 86.1% in specificity with leave-one-out cross-validation test of 319 dermoscopy images. Our system supported SSL encrypted transaction and required only several seconds to complete a procedure. On the other hand, we developed portable skin camera as the alternative of dermoscopy and started field-application tests by distributing them for hospitals or medical universities at first setout for making the system into practical use.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
PublisherIEEE Computer Society
ISBN (Print)0780393872, 9780780393875
DOIs
Publication statusPublished - 2005 Jan 1
Event2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 - La Jolla, CA, United States
Duration: 2005 Nov 142005 Nov 15

Publication series

NameProceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Volume2005

Other

Other2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
CountryUnited States
CityLa Jolla, CA
Period05/11/1405/11/15

Keywords

  • Dermoscopy
  • Melanoma
  • Neural network
  • Remote diagnosis
  • Tumor extraction

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Iyatomi, H., Oka, H., Hashimoto, M., Tanaka, M., & Ogawa, K. (2005). An internet-based melanoma diagnostic system - Toward the practical application -. In Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 [1594952] (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05; Vol. 2005). IEEE Computer Society. https://doi.org/10.1109/cibcb.2005.1594952