Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

Abstract Images depicting dark skin tones are significantly underrepresented in the educational materials used to teach primary care physicians and dermatologists to recognize skin diseases. This could contribute to disparities in skin disease diagnosis across different racial groups. Previously, do...

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Podrobná bibliografie
Hlavní autoři: Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules B. Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou
Médium: Článek
Jazyk:English
Vydáno: Nature Portfolio 2023-08-01
Edice:npj Digital Medicine
On-line přístup:https://doi.org/10.1038/s41746-023-00881-0

Internet

https://doi.org/10.1038/s41746-023-00881-0

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