Automated characterization of diabetic foot using nonlinear features extracted from thermograms

Author:

Adam Muhammad,Ng Eddie Y.K.,Oh Shu Lih,Heng Marabelle L.,Hagiwara Yuki,Tan Jen Hong,Tong Jasper W.K.,Acharya U. Rajendra

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference81 articles.

1. W.H. Organization, Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Part 1, Diagnosis and classification of diabetes mellitus, 1999.

2. Automated diagnosis of diabetes using entropies and diabetic index;Acharya;J. Mech. Med. Biol.,2016

3. Projections of global mortality and burden of disease from 2002 to 2030;Mathers;PLoS Med.,2006

4. What is the most effective way to reduce incidence of amputation in the diabetic foot?;Apelqvist;Diabetes/Metabolism Res. Rev.,2000

5. The global burden of diabetic foot disease;Boulton;The Lancet,2005

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