Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study

Summary: Background: Ultrasonography is the most widely used technique to diagnose echinococcosis; however, challenges in using this technique and the demand on medical resources, especially in low-income or remote areas, can delay diagnosis. We aimed to develop a deep convolutional neural network...

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Päätekijät:	Yongfeng Yang, MS, Yangdan Cairang, ProfBS, Tian'an Jiang, ProfMD, Jianhua Zhou, ProfPhD, Li Zhang, ProfMS, Baowen Qi, MS, Shumei Ma, ProfMS, Lina Tang, ProfBS, Dong Xu, ProfMD, Lingdai Bu, ProfBS, Rui Bu, ProfMD, Xiang Jing, ProfMD, Hui Wang, ProfMD, Zubang Zhou, ProfMS, Cheng Zhao, ProfMS, Baoming Luo, ProfMD, Liwen Liu, ProfMD, Jianqin Guo, ProfMS, Yuzhen Nima, ProfBS, Guoyong Hua, ProfMS, Zengcheng Wa, ProfBS, Yuying Zhang, ProfBS, Guoyi Zhou, BS, Wen Jiang, MS, Changcheng Wang, MS, Yang De, BS, Xiaoling Yu, ProfMD, Zhigang Cheng, ProfMD, Zhiyu Han, ProfMD, Fangyi Liu, ProfMD, Jianping Dou, ProfMD, Hui Feng, ProfMS, Chong Wu, MS, Ruifang Wang, MD, Jie Hu, BS, Qi Yang, MD, Yanchun Luo, BS, Jiapeng Wu, MD, Haining Fan, Ping Liang, MD, Jie Yu, MD
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2023-08-01
Sarja:	The Lancet: Digital Health
Linkit:	http://www.sciencedirect.com/science/article/pii/S2589750023000912
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