1. Comparative analysis of skin characteristics evaluation by a dermatologist and the Janus‐III measurement system.
- Author
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Leem, Sangseob, Kim, Seong Jin, Kim, Yunkwan, Shin, Joong‐Gon, Song, Hae Jung, Lee, Seo‐Gyeong, Seo, Jung Yeon, Kim, Kyunghoe, You, Seung Won, Park, Sun Gyoo, and Kang, Nae Gyu
- Subjects
HUMAN skin color ,DERMATOLOGISTS ,COMPARATIVE studies ,PEARSON correlation (Statistics) ,RELIABILITY in engineering ,COSMETICS industry - Abstract
Background: The Janus‐III measurement system evaluates the overall skin characteristics such as skin pore, wrinkle, sebum, porphyrin, skin pigmentation, and skin color using high‐resolution facial images. The values are measured from five different facial areas, namely, the forehead, nose, corner of/skin below the eyes, and cheeks. Owing to its convenience and diverse measuring characteristics, Janus‐III has been widely used in skin research and the cosmetic industry in Korea. In our previous study, we revealed the consistency and reliability of the system with repeatedly measured values. Its measuring performance was investigated statistically, but to make it more reliable for academic skin research, additional verification by a professional dermatologist is needed. Materials and Methods: In this study, we conducted comparative analysis of three skin characteristics (pigmented spot, skin color, and eye wrinkle) by a dermatologist and the Janus‐III measurement system. We utilized 330 image data that were cropped from the whole facial images of 330 different participants to avoid correlation among the three measuring items. Pearson's correlation coefficient exhibited similar patterns between the system and the dermatologist's findings. Results: The main finding of our study was that the measured value of skin characteristics by the Janus‐III system showed clear correlation with the values evaluated by a dermatologist, especially in a pigmented spot. Conclusion: Therefore, it would be a plausible idea to consider the Janus‐III system for specialized research of skin characteristics even with a small sample size. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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