Automated measurement of hair density and projected apparent width via deep learning–based phototrichogram analysis

    July 2026 in “ International Journal of Cosmetic Science ”
    Sehun Pyo, 김보민, Jaeeun Min … Sang‐Il Choi
    Studysummary This study found that deep learning-assisted phototrichogram analysis can efficiently and reproducibly measure hair density and width, correlating well with clinician assessments, especially useful for clinical and cosmetic research.
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    Research cited in this study 10

    1. Quantitative Measurement of Hair Diameter Diversity as a Diagnostic Indicator of Androgenetic Alopecia in Korean Males: A Cross-Sectional Study JAAD International · 2024
    2. Evaluation of Scalp Hair Density and Diameter in the Arab Population: Clinical Office-Based Phototrichogram Analysis Clinical, cosmetic and investigational dermatology · 2022
    3. Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks Sensors · 2022
    4. Phototrichogram Analysis of Normal Scalp Hair Characteristics with Aging European Journal of Dermatology · 2013
    5. Automated Digital Image Analysis (TrichoScan) for Human Hair Growth Analysis: Ease Versus Errors International Journal of Trichology · 2010
    6. Validation of TrichoScan Technology as a Fully-Automated Tool for Evaluation of Hair Growth Parameters European journal of dermatology/EJD. European journal of dermatology · 2009
    7. Hair Evaluation Methods: Merits and Demerits International Journal of Trichology · 2009
    8. The Changing Patterns of Hair Density and Thickness in South Korean Women with Hair Loss: Clinical Office-Based Phototrichogram Analysis International Journal of Dermatology · 2008
    9. Critical Study of Hair Growth Analysis with Computer-Assisted Methods Journal of the European Academy of Dermatology and Venereology · 2006
    10. TrichoScan: A Novel Tool for the Analysis of Hair Growth In Vivo Journal of Investigative Dermatology Symposium Proceedings · 2003