2020
DOI: 10.1111/srt.12878
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Evaluation of a simple image‐based tool to quantify facial erythema in rosacea during treatment

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Cited by 13 publications
(20 citation statements)
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“…In this study, the images were captured in 10‐minute intervals from the surface of the sample located in the middle of the tray. The RGB sample images were processed using ImageJ image processing program (Logger et al, 2020). ImageJ converted the captured images of RGB color space to three different images representing each value of the L*a*b*color space.…”
Section: Materials and Methodologymentioning
confidence: 99%
“…In this study, the images were captured in 10‐minute intervals from the surface of the sample located in the middle of the tray. The RGB sample images were processed using ImageJ image processing program (Logger et al, 2020). ImageJ converted the captured images of RGB color space to three different images representing each value of the L*a*b*color space.…”
Section: Materials and Methodologymentioning
confidence: 99%
“…Other studies reported even more discouraging results on the CIELAB performance. Logger et al found a weak correlation between a visually determined erythema score and a* with r s of 0.37 [ 25 ]. Similarly, a* retrieved from RGB images exhibited a limited capability to differentiate between erythema categories in canine skin [ 31 ].…”
Section: Discussionmentioning
confidence: 99%
“…In general, most studies [ 6 , 19 , 21 , 22 , 23 , 24 ] presented a high correlation between the visual and optical erythema estimations with the correlation coefficients from 0.69 to 0.91. Furthermore, there was a good to excellent agreement between various optical devices with the Pearson’s correlation coefficient ( r p ) of 0.76–0.81 [ 14 ] and the coefficient of determination ( r 2 ) between 0.82 and 0.99 [ 25 , 26 ]. On the other hand, two facial devices for skin analysis (VISIA, Canfield, Parsippany, NJ, USA and CSKIN, source unknown) achieved a poor correlation with visual scores or between themselves ( r p = 0.21–0.49) [ 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, ocular sensitivity to visible light depends on the wavelength and shows intraindividual variation. 12 High-magnification photographs, such as those acquired by a folliscope, can aid clinical examination. However, visual inspection of nail microrelief is still subjective and unreliable and cannot provide quantifiable data.…”
Section: Discussionmentioning
confidence: 99%