The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms

Perry Xiao; Christos Bontozoglou; Elena Chirikhina; Daqing Chen

doi:10.3390/cosmetics7030067

The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms

Perry Xiao, Christos Bontozoglou, Elena Chirikhina, Daqing Chen

Mechanical Engineering and Design

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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	https://doi.org/10.3390/cosmetics7030067
Publication status	Published - 22 Aug 2020

Keywords

graphic user interface
deep learning
machine learning
skin image analysis
capacitive imaging

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10.3390/cosmetics7030067

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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",

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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 -

The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms

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Keywords

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