Automated Digital Image Analysis (TrichoScan) for Human Hair Growth Analysis: Ease Versus Errors

    Punit P Saraogi, Rachita Dhurat
    Studysummary This study concluded that TrichoScan is error-prone in its current form and overestimates certain hair growth parameters, with results not aligning with clinical severity of alopecia.
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    Research cited in this study 8

    1. 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
    2. Use of the TrichoScan to Assess Female Pattern Hair Loss Dermatologic Surgery · 2009
    3. Quantification of Female Pattern Hair Loss: A Study in a Turkish Population PubMed · 2007
    4. Critical Study of Hair Growth Analysis with Computer-Assisted Methods Journal of the European Academy of Dermatology and Venereology · 2006
    5. Women Who Present With Female Pattern Hair Loss Tend To Underestimate The Severity Of Their Hair Loss British Journal of Dermatology · 2004
    6. TrichoScan: Combining Epiluminescence Microscopy With Digital Image Analysis for the Measurement of Hair Growth In Vivo PubMed · 2001
    7. Contrast Enhanced Phototrichogram: An Improved Non-Invasive Technique for Measurement of Scalp Hair Dynamics in Androgenetic Alopecia – Validation Study with Histology After Transverse Sectioning of Scalp Biopsies PubMed · 2001
    8. Follicular Transplantation: Patient Evaluation and Surgical Planning PubMed · 1997

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    7. Automated Digital Image Analysis (TrichoScan) for Human Hair Growth Analysis: Ease Versus Errors International Journal of Trichology · 2010
    8. Possible Mechanisms of Miniaturization During Androgenetic Alopecia or Pattern Hair Loss Journal of The American Academy of Dermatology · 2001
    9. Disorders of Hair Growth: Diagnosis and Treatment McGraw-Hill eBooks · 1994