Paper
25 March 2023 Visualization of Cutibacterium acnes with visible light using deep learning
Sota Watanabe, Makoto Hasegawa
Author Affiliations +
Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259214 (2023) https://doi.org/10.1117/12.2666674
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of
Abstract
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sota Watanabe and Makoto Hasegawa "Visualization of Cutibacterium acnes with visible light using deep learning", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259214 (25 March 2023); https://doi.org/10.1117/12.2666674
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visualization

Ultraviolet radiation

Correlation coefficients

Education and training

Visible radiation

Deep learning

Neural networks

Back to Top