Unsupervised border detection of skin lesion images

M. Emre Celebi; Y. Alp Aslandogan; Paul R. Bergstresser

doi:10.1109/itcc.2005.283

Unsupervised border detection of skin lesion images

M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstresser

Dermatology

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

55 Scopus citations

Abstract

As a result of the advances in skin imaging technology and the development of suitable image processing/computer vision algorithms, during the last decade, there has been a significant increase of interest in the computer-aided diagnosis of skin cancer. Automated border extraction is one of the most important steps in this procedure since the accuracy of the subsequent steps crucially depends on the accuracy of this very first step. In this paper, we present an unsupervised approach to border detection in skin lesion (tumor) images based on a modified version of the JSEG algorithm. The segmentation results are visually examined by an expert dermatologist and are found to be highly accurate.

Original language	English (US)
Title of host publication	Proceedings ITCC 2005 - International Conference on Information Technology
Subtitle of host publication	Coding and Computing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	123-128
Number of pages	6
ISBN (Print)	0769523153, 9780769523156
DOIs	https://doi.org/10.1109/itcc.2005.283
State	Published - 2005
Event	ITCC 2005 - International Conference on Information Technology: Coding and Computing - Las Vegas, NV, United States Duration: Apr 4 2005 → Apr 6 2005

Publication series

Name	International Conference on Information Technology: Coding and Computing, ITCC
Volume	2

Other

Other	ITCC 2005 - International Conference on Information Technology: Coding and Computing
Country/Territory	United States
City	Las Vegas, NV
Period	4/4/05 → 4/6/05

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/itcc.2005.283

Cite this

Celebi, M. E., Aslandogan, Y. A., & Bergstresser, P. R. (2005). Unsupervised border detection of skin lesion images. In Proceedings ITCC 2005 - International Conference on Information Technology: Coding and Computing (pp. 123-128). (International Conference on Information Technology: Coding and Computing, ITCC; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/itcc.2005.283

Unsupervised border detection of skin lesion images. / Celebi, M. Emre; Aslandogan, Y. Alp; Bergstresser, Paul R.
Proceedings ITCC 2005 - International Conference on Information Technology: Coding and Computing. Institute of Electrical and Electronics Engineers Inc., 2005. p. 123-128 (International Conference on Information Technology: Coding and Computing, ITCC; Vol. 2).

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

Celebi, ME, Aslandogan, YA & Bergstresser, PR 2005, Unsupervised border detection of skin lesion images. in Proceedings ITCC 2005 - International Conference on Information Technology: Coding and Computing. International Conference on Information Technology: Coding and Computing, ITCC, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 123-128, ITCC 2005 - International Conference on Information Technology: Coding and Computing, Las Vegas, NV, United States, 4/4/05. https://doi.org/10.1109/itcc.2005.283

Celebi ME, Aslandogan YA, Bergstresser PR. Unsupervised border detection of skin lesion images. In Proceedings ITCC 2005 - International Conference on Information Technology: Coding and Computing. Institute of Electrical and Electronics Engineers Inc. 2005. p. 123-128. (International Conference on Information Technology: Coding and Computing, ITCC). doi: 10.1109/itcc.2005.283

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AB - As a result of the advances in skin imaging technology and the development of suitable image processing/computer vision algorithms, during the last decade, there has been a significant increase of interest in the computer-aided diagnosis of skin cancer. Automated border extraction is one of the most important steps in this procedure since the accuracy of the subsequent steps crucially depends on the accuracy of this very first step. In this paper, we present an unsupervised approach to border detection in skin lesion (tumor) images based on a modified version of the JSEG algorithm. The segmentation results are visually examined by an expert dermatologist and are found to be highly accurate.

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Unsupervised border detection of skin lesion images

Abstract

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ASJC Scopus subject areas

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