Hairlossmultinet: A Multi-Scale Feature Fusion Method Using Deep Learning Approach

    January 2025 in “ Communications in computer and information science ”
    Nizamul Haque Sohan, Md Mahbubur Rahman, Ahmed Shafkat … Nazmul Hassan
    Studysummary HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
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    Research cited in this study 4

    1. The Effects of Oral Supplementation of Natural Keratin Hydrolysate on Skin Aging: A Randomized, Double-Blind, Placebo-Controlled Clinical Study in Healthy Women Journal of Cosmetic Dermatology · 2024
    2. Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition Indian journal of science and technology · 2023
    3. Alopecia Areata: Burden of Disease, Approach to Treatment, and Current Unmet Needs Clinical, Cosmetic and Investigational Dermatology · 2023
    4. Deep Review on Alopecia Areata Diagnosis for Hair Loss-Related Autoimmune Disorder International Journal of Applied Pharmaceutics · 2022