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Updated: Jun 30, 2026

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

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[Deep learning-driven high-frequency ultrasound method for skin aging assessment].

Xiaofang Zhang¹, Bingbing He¹, Dongjie Sun²

¹School of Information, Yunnan University, Kunming 650504, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|June 28, 2026

Summary

This study introduces a deep learning method using high-frequency ultrasound images for objective skin aging classification. The AI model accurately identifies skin aging, offering a new tool for skincare and anti-aging treatments.

Area of Science:

Dermatology
Artificial Intelligence
Medical Imaging

Keywords:

Dual-enhanced attention mechanism Global-aware temporal hierarchical network High-frequency ultrasound Multi-scale path dropout Skin aging

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