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

scalp diseases deep learning EfficientNetB0 DenseNet121 MobileNetV2 transfer learning soft voting mechanism ensemble model

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.

Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer ·

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