Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome-Reference-Cited by-同舟云学术

Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome

Published:2022-06-03 Issue:6 Volume:35 Page:1433-1444
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Zhou Haiying,Bai Qi,Hu Xianliang,Alhaskawi Ahmad,Dong Yanzhao,Wang Zewei,Qi Binjie,Fang Jianyong,Kota Vishnu Goutham,Abdulla Mohamed Hasan Abdulla Hasa,Ezzi Sohaib Hasan Abdullah,Lu Hui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Zhejiang Traditional Chinese Medicine Research Program

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-022-00661-4.pdf

Reference61 articles.

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2. Bland JD: Do nerve conduction studies predict the outcome of carpal tunnel decompression? Muscle Nerve 24(7):935–40,2001. https://doi.org/10.1002/mus.1091

3. Lee JK, Yoon BN, Cho JW, Ryu HS, Han SH: Carpal Tunnel Release Despite Normal Nerve Conduction Studies in Carpal Tunnel Syndrome Patients. Ann Plastic Surg 86(1):52–57,2020. https://doi.org/10.1097/sap.0000000000002570

4. Crnković T, Trkulja V, Bilić R, Gašpar D, Kolundžić R: Carpal tunnel and median nerve volume changes after tunnel release in patients with the carpal tunnel syndrome: a magnetic resonance imaging (MRI) study. Int Orthop 40(5):981–7,2016. https://doi.org/10.1007/s00264-015-3052-8

5. Hu X, Liu Z, Zhou H, Fang J, Lu H. Deep HT: Deep HT: A deep neural network for diagnose on MR images of tumors of the hand. PLoS One 15(8):e0237606,2020. https://doi.org/10.1371/journal.pone.0237606

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