A deep learning fusion network trained with clinical and high-frequency ultrasound images in the multi-classification of skin diseases in comparison with dermatologists: a prospective and multicenter studyResearch in context

A deep learning fusion network trained with clinical and high-frequency ultrasound images in the multi-classification of skin diseases in comparison with dermatologists: a prospective and multicenter studyResearch in context

Summary: Background: Clinical appearance and high-frequency ultrasound (HFUS) are indispensable for diagnosing skin diseases by providing internal and external information. However, their complex combination brings challenges for primary care physicians and dermatologists. Thus, we developed a deep...

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Bibliographic Details
Main Authors: An-Qi Zhu, Qiao Wang, Yi-Lei Shi, Wei-Wei Ren, Xu Cao, Tian-Tian Ren, Jing Wang, Ya-Qin Zhang, Yi-Kang Sun, Xue-Wen Chen, Yong-Xian Lai, Na Ni, Yu-Chong Chen, Jing-Liang Hu, Li-Chao Mou, Yu-Jing Zhao, Ye-Qiang Liu, Li-Ping Sun, Xiao-Xiang Zhu, Hui-Xiong Xu, Le-Hang Guo
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:EClinicalMedicine
Subjects:
Skin disease
Convolutional neural network
High-frequency ultrasound
Multi-classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537023005680

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http://www.sciencedirect.com/science/article/pii/S2589537023005680

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