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    An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis

    Naren Debnath, Nibaran Das, Sonali Sarkar, Mita Nasipuri
    Studysummary This study developed a novel system that can automatically estimate hair loss parameters from images without expert input, reporting satisfactory results from testing on samples collected in Kolkata.
    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 2

    1. Automated Digital Image Analysis (TrichoScan) for Human Hair Growth Analysis: Ease Versus Errors International Journal of Trichology · 2010
    2. 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

    Related research 1

    1. A New Practical Classification for Spatial Distribution and Morphology of Human Hair: Ahmad's LGMA Classification Journal of Cosmetic Dermatology · 2017