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.
6 citations
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January 2016 in “Journal of Biomedical Photonics & Engineering” This study found that using a clipping device for hair removal leads to less skin barrier disruption and reduced bacterial colonization compared to a disposable razor, potentially improving postoperative wound management.
3 citations
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May 2021 in “British Journal of Dermatology” This study reports that COVID-19 significantly decreased skin cancer diagnoses and referrals, with reductions of up to 60% observed in the Netherlands and similar trends in the UK and Australia.
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.
35 citations
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October 2003 in “Dermatologic clinics” This article discusses the lack of national credentialing for laser therapy practitioners and emphasizes the need for rigorous self-assessment and expertise, particularly when treating patients with darker skin, without presenting new research results.