A Knowledge-Based Approach for Carpal Tunnel Segmentation from Magnetic Resonance Images-Reference-Cited by-同舟云学术

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A Knowledge-Based Approach for Carpal Tunnel Segmentation from Magnetic Resonance Images

Published:2012-10-09 Issue:3 Volume:26 Page:510-520
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Chen Hsin-Chen,Wang Yi-Ying,Lin Cheng-Hsien,Wang Chien-Kuo,Jou I-Ming,Su Fong-Chin,Sun Yung-Nien

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/content/pdf/10.1007/s10278-012-9530-2.pdf

Reference33 articles.

1. Atroshi I, Gummesson C, Johnsson R, Ornstein E, Ranstam J, Rosén I: Prevalence of carpal tunnel syndrome in a general population. JAMA 282(2): 153–158, 1999

2. Thoma A, Veltri K, Haines T, Duku E: A meta-analysis of randomized controlled trials comparing endoscopic and open carpal tunnel decompression. Plast Reconstr Surg 114: 1137–1146, 2004

3. Tung WL, Zhao C, Yoshii Y, Su FC, An KN, Amadio PC: Comparative study of carpal tunnel compliance in the human, dog, rabbit, and rat. J Orthop Res 28: 652–656, 2010

4. Pacek CA, Tang J, Goitz RJ, Kaufmann RA, Li ZM: Morphological analysis of the carpal tunnel. Hand 5:77–81, 2010

5. Middleton WD, Kneeland JB, Kellman GM, Cates JD, Sanger JR, Jesmanowicz A, Froncisz W, Hyde JS: MR imaging of the carpal tunnel: normal anatomy and preliminary findings in the carpal tunnel syndrome. Am J Roentgenol 148: 307–316, 1987

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