DTH-FusionNet: A Feature-Level Fusion Network Integrating Density, Thickness, and Hair Image for Alopecia Severity Classification

Accurate assessment of alopecia severity remains a clinical challenge due to subjective diagnostic standards and the limited integration of quantitative hair characteristics. To address these limitations, we propose DTH-FusionNet (Density–Thickness–Hair Image Fusion Network), a feature...

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Bibliografische Detailangaben

Hauptverfasser:	Heon Jun Shin, Woo Seok Choi, Sang Hyun Choi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Alopecia image classification ConvNeXt convolutional neural networks DTH-FusionNet feature-level fusion ensemble quantitative hair analysis
Online-Zugang:	https://ieeexplore.ieee.org/document/11271431/
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