7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
July 2025 in “Harvard Dataverse” A deep learning model accurately detects early hair loss signs using scalp images.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.