Visualization of Cutibacterium acnes with Visible Light Using Deep Learning

被引：1

作者：

Watanabe, Sota ^{[1
]}

Hasegawa, Makoto ^{[2
]}

机构：

[1] Lion Corp, Res & Dev Headquarters, Well Being Res Labs, Kanagawa, Japan

[2] Tokyo Denki Univ, Sch Engn, Tokyo, Japan

来源：

INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY, IWAIT 2023 | 2023年 / 12592卷

关键词：

Deep learning; C; acnes; Acne; Visualization; UV light; U; -Net;

D O I：

10.1117/12.2666674

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we investigated a deep -learning method for visualizing Cutibacterium acnes (C. acnes) in facial photographs taken with visible -light irradiation. We used a dermatological device to capture photos with UV-light irradiation wherein C. acnes on the faces of people and paired these photos with visible -light images to train a deep learning model. Then, two methods were devised to increase the learning efficiency, namely a method to crop and reduce the size of the image used for learning and a method for highlighting the points where the C. acnes emitted light. These results suggested the potential application of these methods in visualizing C. acnes using only smartphones.

引用

页数：6

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