670 Average RGB color value to categorize skin color of dermatology images
نویسندگان
چکیده
Visual learning equity is a health justice effort to increase the diversity of skin color in images used for dermatology education. However, visual assessment subjective and varies based on viewers’ personal characteristics contextual situation. Here, we aim create an objective measure assessing using average red, green, blue (RGB) values image pixels categorize images. The RGB model additive as lightens from black white. We manually cropped 200 conditions preclinical lecture slides only contain unaffected, background patient. value each pixel was calculated number entire computed. To classify into human groupings NIS Skin Color Scale reference. determined point defined points 1-2 light/white skin, 3-5 medium/brown 6-10 dark/black skin. Two reviewers also visually categorized with same groupings. percent agreement between scores two 83% Cohen’s kappa 0.64. categorization method showed high reliability reviewers’ scores, 82.5% 0.67. There strong linear relationship numeric score (Spearman's rho = -0.78, p<0.001). Extracting reliable categorizing This can be objectively determine representation training strive equitable inclusion all colors.
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ژورنال
عنوان ژورنال: Journal of Investigative Dermatology
سال: 2022
ISSN: ['1523-1747', '0022-202X']
DOI: https://doi.org/10.1016/j.jid.2022.05.681