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.
|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|
|Number of pages||10|
|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
|Name||Smart Innovation, Systems and Technologies|
|Conference||7th International Conference on Science, Technology and Innovation for Society, CITIS 2021|
|Period||26/05/21 → 28/05/21|
Bibliographical notePublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Medical images