Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Network Architectures

May 2025 in “ Journal of Digital Information Management ”

Dang Nguyen Anh, Ngoc Pham, Binh Nguyen, An Mai, Nguyễn Thị Thu Hiền, Nguyen Tan Viet Tuyen

scalp diseases hair diseases convolutional neural networks VGG16 VGG19 Inception-V3 ResNet50 ResNet152 psoriasis

Studysummary This study evaluated different convolutional neural network architectures for diagnosing scalp and hair diseases, and found that VGG16 and VGG19 consistently outperformed other models in accuracy, demonstrating their effectiveness and reliability in this medical application.

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