Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue

    Sunyong Seo, Jinho Park
    Studysummary This paper introduces an algorithm for using smart device-mounted microscopes to analyze scalp images and diagnose hair loss by extracting specific hair loss features.
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    Research cited in this study 9

    1. Utility of Trichoscopy to Diagnose Early Female Pattern Hair Loss in Resource-Poor Setting: A Cross-Sectional Study Indian Journal of Dermatology, Venereology and Leprology · 2019
    2. Factors Associated With Severity Of Alopecia Areata Annals of Dermatology · 2017
    3. Evaluation and Diagnosis of the Hair Loss Patient Journal of The American Academy of Dermatology · 2014
    4. Evaluation and Diagnosis of the Hair Loss Patient Journal of The American Academy of Dermatology · 2014
    5. Hair and Scalp Dermatoscopy Journal of The American Academy of Dermatology · 2012
    6. Trichoscopy for Common Hair Loss Diseases: Algorithmic Method for Diagnosis The Journal of Dermatology · 2010
    7. Androgenetic Alopecia and Cardiovascular Risk Factors in Men and Women: A Comparative Study Journal of The American Academy of Dermatology · 2010
    8. Dermoscopy in Female Androgenic Alopecia: Method Standardization and Diagnostic Criteria International Journal of Trichology · 2009
    9. TrichoScan: A Novel Tool for the Analysis of Hair Growth In Vivo Journal of Investigative Dermatology Symposium Proceedings · 2003

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    2. Role of Trichoscopy in Children's Scalp and Hair Disorders Pediatric Dermatology · 2013
    3. Alopecia Areata: Clinical Presentation, Diagnosis, and Unusual Cases Dermatologic Therapy · 2011
    4. Standardization of Trichotillometer 2009