A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet

    August 2024 in “ Applied Sciences
    Yea-Ju Jin, Yeon-Soo Park, Seong-Ho Kang, Dong‐Hoon Kim, Ji-Yeoun Lee
    Studysummary In this study, researchers developed a machine learning model that accurately diagnosed scalp conditions like fine dandruff and perifollicular erythema with 75% and 82% accuracy, respectively, and created a user-friendly web platform for scalp health self-assessment, which achieved high user satisfaction.
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