March 2026 in “South Asian Research Journal of Medical Sciences” In this case study, a 7-year-old boy with kerion celsi experienced persistent inflammation even after microbiological clearance; dermoscopic-guided removal of hair and keratin debris improved his condition, suggesting a novel inflammatory mechanism involving granulomatous response to keratinous debris in tinea capitis.
6 citations
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January 2018 in “Multimedia Tools and Applications” This study proposes a method for automatically removing hairs from skin lesion images by using edge-tangent flow for hair detection and texture synthesis for restoring occluded regions with minimal artifacts.
This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.
6 citations
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July 2022 in “Biomedical Signal Processing and Control” This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.
7 citations
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July 2011 in “Survey of Ophthalmology” This guide provides a comprehensive approach to diagnosing periocular hair disorders, which can range from benign conditions to those posing serious health risks.