October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
1 citations
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January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
10 citations
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September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
8 citations
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August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.