Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach With EfficientNetB0, DenseNet121, And MobileNetV2

    May 2026 in “ International Journal of Scientific Research in Science and Technology ”
    Ms. Sejal S. Kashalkar, Ms. Tanvi R. Humaraskar, Ms. Sanika C. Joshi
    Studysummary This study found that a combined machine learning model outperformed individual networks in diagnosing scalp conditions using visual data, enhancing prediction accuracy and early detection, particularly in settings with limited resources.
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