The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms
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...
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2020-08-01
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doaj-95ea0dec1f19481a99cb1ebef0e870ea2020-11-25T04:00:53ZengMDPI AGCosmetics2079-92842020-08-017676710.3390/cosmetics7030067The Development of a Skin Image Analysis Tool by Using Machine Learning AlgorithmsPerry Xiao0Xu Zhang1Wei Pan2Xiang Ou3Christos Bontozoglou4Elena Chirikhina5Daqing Chen6School of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UKAuckland Tongji Medical & Rehabilitation Equipment Research Centre, Tongjing Zhejiang College, JiaXing 314000, ChinaSchool of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaSchool of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UKSchool of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UKSchool of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UKWe 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.https://www.mdpi.com/2079-9284/7/3/67graphic user interfacedeep learningmachine learningcapacitive imagingskin image analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Perry Xiao Xu Zhang Wei Pan Xiang Ou Christos Bontozoglou Elena Chirikhina Daqing Chen |
spellingShingle |
Perry Xiao Xu Zhang Wei Pan Xiang Ou Christos Bontozoglou Elena Chirikhina Daqing Chen The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms Cosmetics graphic user interface deep learning machine learning capacitive imaging skin image analysis |
author_facet |
Perry Xiao Xu Zhang Wei Pan Xiang Ou Christos Bontozoglou Elena Chirikhina Daqing Chen |
author_sort |
Perry Xiao |
title |
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms |
title_short |
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms |
title_full |
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms |
title_fullStr |
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms |
title_full_unstemmed |
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms |
title_sort |
development of a skin image analysis tool by using machine learning algorithms |
publisher |
MDPI AG |
series |
Cosmetics |
issn |
2079-9284 |
publishDate |
2020-08-01 |
description |
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. |
topic |
graphic user interface deep learning machine learning capacitive imaging skin image analysis |
url |
https://www.mdpi.com/2079-9284/7/3/67 |
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