Scalp Disease Analysis Using Deep Learning Models

    N. Krishnamoorthy, P. Jayanthi, T. Kumaravel … R. Syed Jamal Harris
    Studysummary This study proposes a deep learning model using CNN with VGG16, VGG19, and MobileNetV2 architectures, achieving high accuracy in classifying scalp diseases from images, potentially facilitating diagnosis and treatment via mobile devices.
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