Scalp Disease Analysis Using Deep Learning Models

    N. Krishnamoorthy, P. Jayanthi, T. Kumaravel, V. A. Sundareshwar, R. Syed Jamal Harris
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    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.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer

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