Localization of lesions in dermoscopy images using ensembles of thresholding methods

M. Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V. Stoecker

doi:10.1007/978-3-540-92957-4_95

Localization of lesions in dermoscopy images using ensembles of thresholding methods

M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. Experiments on a large set of images demonstrate that the presented method achieves both fast and accurate localization of lesions in dermoscopy images.

Original language	English
Title of host publication	Advances in image and video technology
Subtitle of host publication	third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings
Editors	Toshikazu Wada, Fay Huang, Stephen Lin
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	1094-1103
Number of pages	10
ISBN (Electronic)	978-3-540-92957-4
ISBN (Print)	978-3-540-92956-7
DOIs	https://doi.org/10.1007/978-3-540-92957-4_95
Publication status	Published - 2009
Event	3rd Pacific Rim Symposium - Tokyo, Japan Duration: 13 Jan 2009 → 16 Jan 2009

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	5414
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Symposium

Symposium	3rd Pacific Rim Symposium
Abbreviated title	PSIVT 2009
Country/Territory	Japan
City	Tokyo
Period	13/01/09 → 16/01/09

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10.1007/978-3-540-92957-4_95

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Celebi, M. E., Iyatomi, H., Schaefer, G., & Stoecker, W. V. (2009). Localization of lesions in dermoscopy images using ensembles of thresholding methods. In T. Wada, F. Huang, & S. Lin (Eds.), Advances in image and video technology: third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings (pp. 1094-1103). (Lecture Notes in Computer Science; Vol. 5414). Springer. https://doi.org/10.1007/978-3-540-92957-4_95

Celebi, M. Emre ; Iyatomi, Hitoshi ; Schaefer, Gerald et al. / Localization of lesions in dermoscopy images using ensembles of thresholding methods. Advances in image and video technology: third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings. editor / Toshikazu Wada ; Fay Huang ; Stephen Lin. Berlin (DE) : Springer, 2009. pp. 1094-1103 (Lecture Notes in Computer Science).

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title = "Localization of lesions in dermoscopy images using ensembles of thresholding methods",

abstract = "Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. Experiments on a large set of images demonstrate that the presented method achieves both fast and accurate localization of lesions in dermoscopy images.",

author = "Celebi, {M. Emre} and Hitoshi Iyatomi and Gerald Schaefer and Stoecker, {William V.}",

year = "2009",

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editor = "Toshikazu Wada and Fay Huang and Stephen Lin",

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Celebi, ME, Iyatomi, H, Schaefer, G & Stoecker, WV 2009, Localization of lesions in dermoscopy images using ensembles of thresholding methods. in T Wada, F Huang & S Lin (eds), Advances in image and video technology: third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings. Lecture Notes in Computer Science, vol. 5414, Springer, Berlin (DE), pp. 1094-1103, 3rd Pacific Rim Symposium, Tokyo, Japan, 13/01/09. https://doi.org/10.1007/978-3-540-92957-4_95

Localization of lesions in dermoscopy images using ensembles of thresholding methods. / Celebi, M. Emre; Iyatomi, Hitoshi; Schaefer, Gerald et al.
Advances in image and video technology: third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings. ed. / Toshikazu Wada; Fay Huang; Stephen Lin. Berlin (DE): Springer, 2009. p. 1094-1103 (Lecture Notes in Computer Science; Vol. 5414).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Localization of lesions in dermoscopy images using ensembles of thresholding methods

AU - Celebi, M. Emre

AU - Iyatomi, Hitoshi

AU - Schaefer, Gerald

AU - Stoecker, William V.

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N2 - Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. Experiments on a large set of images demonstrate that the presented method achieves both fast and accurate localization of lesions in dermoscopy images.

AB - Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. Experiments on a large set of images demonstrate that the presented method achieves both fast and accurate localization of lesions in dermoscopy images.

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Celebi ME, Iyatomi H, Schaefer G, Stoecker WV. Localization of lesions in dermoscopy images using ensembles of thresholding methods. In Wada T, Huang F, Lin S, editors, Advances in image and video technology: third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings. Berlin (DE): Springer. 2009. p. 1094-1103. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-92957-4_95

Localization of lesions in dermoscopy images using ensembles of thresholding methods

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