4 citations
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December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.