Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study.

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Bibliographic Details
Title: Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study.
Authors: Chen ZT; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Li XL; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Jin FS; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.; Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China., Shi YL; MedAI Technology (Wuxi) Co, Ltd, Wuxi, China., Zhang L; MedAI Technology (Wuxi) Co, Ltd, Wuxi, China., Yin HH; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Zhu YL; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Tang XY; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, China., Lin XY; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Lu BL; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Wang Q; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Sun LP; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.; Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China., Zhu XX; Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany., Qiu L; Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, China., Xu HX; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Guo LH; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.; Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
Source: Journal of medical Internet research [J Med Internet Res] 2025 May 06; Vol. 27, pp. e70545. Date of Electronic Publication: 2025 May 06.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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