Hair and Scalp Disease Detection Using Machine Learning and Image Processing

    May 2024 in “ INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT ”
    Ankit Wakpaijan
    Studysummary This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.
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    Research cited in this study 2

    1. Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach Computational and Mathematical Methods in Medicine · 2021
    2. The Inflammatory Aspect of Male and Female Pattern Hair Loss DOAJ (DOAJ: Directory of Open Access Journals) · 2020

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