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

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

doi:10.1109/cibcb.2005.1594952

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 proceeding › Conference contribution

9 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 language	English
Title of host publication	Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Publisher	IEEE Computer Society
ISBN (Print)	0780393872, 9780780393875
DOIs	https://doi.org/10.1109/cibcb.2005.1594952
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 - La Jolla, CA, United States Duration: 2005 Nov 14 → 2005 Nov 15

Publication series

Name	Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Volume	2005

Other

Other	2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Country/Territory	United States
City	La Jolla, CA
Period	05/11/14 → 05/11/15

Keywords

Dermoscopy
Melanoma
Neural network
Remote diagnosis
Tumor extraction

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/cibcb.2005.1594952

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 Article 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

An internet-based melanoma diagnostic system - Toward the practical application -. / Iyatomi, H.; Oka, H.; Hashimoto, M. et al.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05. IEEE Computer Society, 2005. 1594952 (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05, La Jolla, CA, United States, 05/11/14. https://doi.org/10.1109/cibcb.2005.1594952

Iyatomi H, Oka H, Hashimoto M, Tanaka M, Ogawa K. 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. IEEE Computer Society. 2005. 1594952. (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05). doi: 10.1109/cibcb.2005.1594952

Iyatomi, H. ; Oka, H. ; Hashimoto, M. et al. / An internet-based melanoma diagnostic system - Toward the practical application -. Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05. IEEE Computer Society, 2005. (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05).

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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.",

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AB - 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.

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

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Keywords

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