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    A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification

    March 2026
    V. Jaganraja, Daiva Dinesh Kumar Chowdary, Mahendra Vakkalagadda … Rayappan Lotus
    Studysummary This study introduced a deep learning framework combining multiple convolutional neural networks to detect scalp and hair disorders and classify hair fall stages, reporting higher precision and robustness in detection and classification compared to individual CNN models.
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    Research cited in this study 2

    1. Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures 2024
    2. Enhanced Hair Disease Classification Using Deep Learning 2024