Pre-Trained Classification of Scalp Conditions Using Image Processing

    August 2020 in “ Indonesian Journal of Electrical Engineering and Computer Science ”
    Shafaf Ibrahim, Zarith Azuren Noor Azmy, Nur Nabilah Abu Mangshor … Zaaba Ahmad
    Studysummary This study found that a pre-trained image processing technique accurately classified scalp conditions with 85% accuracy, suggesting potential for automated diagnosis and treatment selection.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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    Research cited in this study 7

    1. Hair and Nail Diseases in the Elderly Population Clinics in Dermatology · 2017
    2. Hair Camouflage: A Comprehensive Review International Journal of Women's Dermatology · 2017
    3. Presence of Mast Cells and Mast Cell Degranulation in Scalp Biopsies of Telogen Effluvium International Journal of Trichology · 2017
    4. Distinguishing Diffuse Alopecia Areata from Pattern Hair Loss Using CD3+ T Cells Journal of The American Academy of Dermatology · 2016
    5. Hair Cosmetics: An Overview International journal of trichology · 2015
    6. Hair and Scalp Evaluation: The Trichogram Actas Dermo-Sifiliográficas · 2013
    7. Alopecia Areata: A New Treatment Plan Clinical, cosmetic and investigational dermatology · 2011

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