Data Augmentation Techniques Applied to Improve a Vitiligo Database

Juan Chica; Christian Salamea; Erick Narvaez; David Romero

doi:10.1007/978-981-16-4126-8_2

Data Augmentation Techniques Applied to Improve a Vitiligo Database

Juan Chica, Christian Salamea, Erick Narvaez, David Romero

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

1 Scopus citations

Abstract

Vitiligo is a pathology that causes the apparition of white patches in the skin, and there are multiple works where different techniques to diagnose, measure the quantity of the pathology, or to identify the existence of vitiligo. In this paper, we proposed a data augmentation technique based on superpixels to increase and optimize a dataset with 4723 images of skin with vitiligo, skin without vitiligo, background, and some other textures that could be used in real applications. Moreover, we also include binary vitiligo images where white represents pixels with vitiligo and black the other elements, and these images could be used in order to contribute to the research field of the vitiligo pathology.

Original language	English
Title of host publication	Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021
Editors	Álvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	11-20
Number of pages	10
ISBN (Print)	9789811641251
DOIs	https://doi.org/10.1007/978-981-16-4126-8_2
State	Published - 2022
Event	7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online Duration: 26 May 2021 → 28 May 2021

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	252
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	7th International Conference on Science, Technology and Innovation for Society, CITIS 2021
City	Virtual, Online
Period	26/05/21 → 28/05/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Database
Medical images
Segmentation
Vitiligo

Access to Document

10.1007/978-981-16-4126-8_2

Cite this

Chica, J., Salamea, C., Narvaez, E., & Romero, D. (2022). Data Augmentation Techniques Applied to Improve a Vitiligo Database. In Á. Rocha, P. C. López-López, & J. P. Salgado-Guerrero (Eds.), Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021 (pp. 11-20). (Smart Innovation, Systems and Technologies; Vol. 252). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-4126-8_2

Chica, Juan ; Salamea, Christian ; Narvaez, Erick et al. / Data Augmentation Techniques Applied to Improve a Vitiligo Database. Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. editor / Álvaro Rocha ; Paulo Carlos López-López ; Juan Pablo Salgado-Guerrero. Springer Science and Business Media Deutschland GmbH, 2022. pp. 11-20 (Smart Innovation, Systems and Technologies).

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title = "Data Augmentation Techniques Applied to Improve a Vitiligo Database",

abstract = "Vitiligo is a pathology that causes the apparition of white patches in the skin, and there are multiple works where different techniques to diagnose, measure the quantity of the pathology, or to identify the existence of vitiligo. In this paper, we proposed a data augmentation technique based on superpixels to increase and optimize a dataset with 4723 images of skin with vitiligo, skin without vitiligo, background, and some other textures that could be used in real applications. Moreover, we also include binary vitiligo images where white represents pixels with vitiligo and black the other elements, and these images could be used in order to contribute to the research field of the vitiligo pathology.",

keywords = "Database, Medical images, Segmentation, Vitiligo",

author = "Juan Chica and Christian Salamea and Erick Narvaez and David Romero",

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year = "2022",

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Chica, J, Salamea, C, Narvaez, E & Romero, D 2022, Data Augmentation Techniques Applied to Improve a Vitiligo Database. in Á Rocha, PC López-López & JP Salgado-Guerrero (eds), Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. Smart Innovation, Systems and Technologies, vol. 252, Springer Science and Business Media Deutschland GmbH, pp. 11-20, 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021, Virtual, Online, 26/05/21. https://doi.org/10.1007/978-981-16-4126-8_2

Data Augmentation Techniques Applied to Improve a Vitiligo Database. / Chica, Juan; Salamea, Christian; Narvaez, Erick et al.
Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. ed. / Álvaro Rocha; Paulo Carlos López-López; Juan Pablo Salgado-Guerrero. Springer Science and Business Media Deutschland GmbH, 2022. p. 11-20 (Smart Innovation, Systems and Technologies; Vol. 252).

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

TY - GEN

T1 - Data Augmentation Techniques Applied to Improve a Vitiligo Database

AU - Chica, Juan

AU - Salamea, Christian

AU - Narvaez, Erick

AU - Romero, David

PY - 2022

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N2 - Vitiligo is a pathology that causes the apparition of white patches in the skin, and there are multiple works where different techniques to diagnose, measure the quantity of the pathology, or to identify the existence of vitiligo. In this paper, we proposed a data augmentation technique based on superpixels to increase and optimize a dataset with 4723 images of skin with vitiligo, skin without vitiligo, background, and some other textures that could be used in real applications. Moreover, we also include binary vitiligo images where white represents pixels with vitiligo and black the other elements, and these images could be used in order to contribute to the research field of the vitiligo pathology.

AB - Vitiligo is a pathology that causes the apparition of white patches in the skin, and there are multiple works where different techniques to diagnose, measure the quantity of the pathology, or to identify the existence of vitiligo. In this paper, we proposed a data augmentation technique based on superpixels to increase and optimize a dataset with 4723 images of skin with vitiligo, skin without vitiligo, background, and some other textures that could be used in real applications. Moreover, we also include binary vitiligo images where white represents pixels with vitiligo and black the other elements, and these images could be used in order to contribute to the research field of the vitiligo pathology.

KW - Database

KW - Medical images

KW - Segmentation

KW - Vitiligo

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AN - SCOPUS:85116848096

SN - 9789811641251

T3 - Smart Innovation, Systems and Technologies

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BT - Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021

A2 - Rocha, Álvaro

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Chica J, Salamea C, Narvaez E, Romero D. Data Augmentation Techniques Applied to Improve a Vitiligo Database. In Rocha Á, López-López PC, Salgado-Guerrero JP, editors, Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 11-20. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-16-4126-8_2

Data Augmentation Techniques Applied to Improve a Vitiligo Database

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Keywords

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