Quantitative classification of melasma with photoacoustic microscopy: a pilot study.

Zhiyang Wang Yuying ChenShu PanWuyu ZhangZiwei GuoYuzhi WangSihua Yang

Published in: Journal of biomedical optics (2023)

PAM can obtain the data of epidermal thickness, pigment depth, subcutaneous vascular diameter, and vascular density, and realize the dual standard quantitative melasma classification by combining the parameters of melanin and blood vessels. In addition, PAM can provide new diagnostic information for uncertain melasma types and further refine the typing.

Keyphrases

optical coherence tomography
high resolution
deep learning
machine learning
optic nerve
big data
single molecule
high speed
healthcare
wound healing
data analysis