Abstract
We present our latest research work on the development of a skin image analysis tool by using machine-learning algorithms. Skin imaging is very import in skin research. Over the years, we have used and developed different types of skin imaging techniques. As the number of skin images and the type of skin images increase, there is a need of a dedicated skin image analysis tool. In this paper, we report the development of such software tool by using the latest MATLAB App Designer. It is simple, user friendly and yet powerful. We intend to make it available on GitHub, so that others can benefit from the software. This is an ongoing project; we are reporting here what we have achieved so far, and more functions will be added to the software in the future.
| Original language | English |
|---|---|
| Pages (from-to) | e67 |
| Journal | Cosmetics |
| DOIs | |
| Publication status | Published - 22 Aug 2020 |
Keywords
- graphic user interface
- deep learning
- machine learning
- skin image analysis
- capacitive imaging
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Xiao, P., Bontozoglou, C., Chirikhina, E. (2020). The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms. Cosmetics, e67. https://doi.org/10.3390/cosmetics7030067
Xiao, Perry ; Bontozoglou, Christos ; Chirikhina, Elena et al. / The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms. In: Cosmetics. 2020 ; pp. e67.
@article{066ab7dae1784515aff213cdcb6c6062,
title = "The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms",
abstract = "We present our latest research work on the development of a skin image analysis tool by using machine-learning algorithms. Skin imaging is very import in skin research. Over the years, we have used and developed different types of skin imaging techniques. As the number of skin images and the type of skin images increase, there is a need of a dedicated skin image analysis tool. In this paper, we report the development of such software tool by using the latest MATLAB App Designer. It is simple, user friendly and yet powerful. We intend to make it available on GitHub, so that others can benefit from the software. This is an ongoing project; we are reporting here what we have achieved so far, and more functions will be added to the software in the future.",
keywords = "graphic user interface, deep learning, machine learning, skin image analysis, capacitive imaging",
author = "Perry Xiao and Christos Bontozoglou and Elena Chirikhina and Daqing Chen",
year = "2020",
month = aug,
day = "22",
doi = "10.3390/cosmetics7030067",
language = "English",
pages = "e67",
journal = "Cosmetics",
issn = "2079-9284",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
}
Xiao, P, Bontozoglou, C, Chirikhina, E 2020, 'The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms', Cosmetics, pp. e67. https://doi.org/10.3390/cosmetics7030067
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms. / Xiao, Perry; Bontozoglou, Christos; Chirikhina, Elena et al.
In: Cosmetics, 22.08.2020, p. e67.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms
AU - Xiao, Perry
AU - Bontozoglou, Christos
AU - Chirikhina, Elena
AU - Chen, Daqing
PY - 2020/8/22
Y1 - 2020/8/22
N2 - We present our latest research work on the development of a skin image analysis tool by using machine-learning algorithms. Skin imaging is very import in skin research. Over the years, we have used and developed different types of skin imaging techniques. As the number of skin images and the type of skin images increase, there is a need of a dedicated skin image analysis tool. In this paper, we report the development of such software tool by using the latest MATLAB App Designer. It is simple, user friendly and yet powerful. We intend to make it available on GitHub, so that others can benefit from the software. This is an ongoing project; we are reporting here what we have achieved so far, and more functions will be added to the software in the future.
AB - We present our latest research work on the development of a skin image analysis tool by using machine-learning algorithms. Skin imaging is very import in skin research. Over the years, we have used and developed different types of skin imaging techniques. As the number of skin images and the type of skin images increase, there is a need of a dedicated skin image analysis tool. In this paper, we report the development of such software tool by using the latest MATLAB App Designer. It is simple, user friendly and yet powerful. We intend to make it available on GitHub, so that others can benefit from the software. This is an ongoing project; we are reporting here what we have achieved so far, and more functions will be added to the software in the future.
KW - graphic user interface
KW - deep learning
KW - machine learning
KW - skin image analysis
KW - capacitive imaging
U2 - 10.3390/cosmetics7030067
DO - 10.3390/cosmetics7030067
M3 - Article
SN - 2079-9284
SP - e67
JO - Cosmetics
JF - Cosmetics
ER -
Xiao P, Bontozoglou C, Chirikhina E, Chen D. The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms. Cosmetics. 2020 Aug 22;e67. doi: 10.3390/cosmetics7030067
