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Journal of Diabetes Research
Volume 2015 (2015), Article ID 847854, 7 pages
http://dx.doi.org/10.1155/2015/847854
Research Article

Automated Quantification of Neuropad Improves Its Diagnostic Ability in Patients with Diabetic Neuropathy

1Research Division, Weill Cornell Medical College in Qatar, Qatar Foundation, P.O. Box 24144, Education City, Doha, Qatar
2Institute of Human Development, Centre for Endocrinology & Diabetes, Faculty of Medical and Human Sciences, University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester M13 9NT, UK
3Roke Manor Research Ltd, Old Salisbury Lane, Romsey, Hampshire SO51 0ZN, UK

Received 18 January 2015; Accepted 27 April 2015

Academic Editor: Andrea Flex

Copyright © 2015 Georgios Ponirakis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Georgios Ponirakis, Hassan Fadavi, Ioannis N. Petropoulos, et al., “Automated Quantification of Neuropad Improves Its Diagnostic Ability in Patients with Diabetic Neuropathy,” Journal of Diabetes Research, vol. 2015, Article ID 847854, 7 pages, 2015. doi:10.1155/2015/847854