This study describes a new method using ImageJ to quantitatively assess hair loss in mice with alopecia areata, offering a more precise and reproducible alternative to traditional visual scoring systems by employing image-based analysis techniques.
April 2023 in “Journal of Investigative Dermatology” A new image-based method improves accuracy in measuring hair loss in mice.
8 citations
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December 2015 in “JAMA ophthalmology” This abstract contains no research results; it's a website navigation menu and institutional policy information from JAMA Ophthalmology.
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.
December 2009 in “Pediatrics in review” This case study describes a 17-year-old girl initially thought to be experiencing a Crohn disease exacerbation, but ultimately found to have a trichobezoar causing small bowel obstruction.
