A measurement of epidermal thickness of fingertip skin from OCT images using convolutional neural network

Yongping Lin; Dezi Li; Wang Liu; Zhaowei Zhong; Zhifang Li; Youwu He; Shulian Wu

doi:10.1142/s1793545821400058

Journal of Innovative Optical Health Sciences, Volume. 14, Issue 1, 2140005(2021)

A measurement of epidermal thickness of fingertip skin from OCT images using convolutional neural network

Yongping Lin¹, Dezi Li², Wang Liu², Zhaowei Zhong², Zhifang Li^2、*, Youwu He², and Shulian Wu²

¹Fujian Provincial Key Laboratory of Optoelectronic Technology and Devices School of Optoelectronic and Communication Engineering Xiamen University of Technology, Xiamen 361024, P. R. China

²Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application College of Photonic and Electronic Engineering Fujian Normal University Fuzhou, Fujian 350007, P. R. China

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Yongping Lin, Dezi Li, Wang Liu, Zhaowei Zhong, Zhifang Li, Youwu He, Shulian Wu. A measurement of epidermal thickness of fingertip skin from OCT images using convolutional neural network[J]. Journal of Innovative Optical Health Sciences, 2021, 14(1): 2140005

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Paper Information

Received: Sep. 21, 2020

Accepted: Nov. 26, 2020

Published Online: Apr. 7, 2021

The Author Email: Li Zhifang (lizhifang@fjnu.edu.cn)

DOI:10.1142/s1793545821400058

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