An automated system can accurately classify hair disorders using image analysis.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.
November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
January 2013 in “Japan labor review” The study created a numerical system to describe and compare 601 jobs in Japan.
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December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.