Diabetes Noninvasive Recognition via Improved Capsule Network-Reference-Cited by-同舟云学术

Diabetes Noninvasive Recognition via Improved Capsule Network

Published:2022-08-01 Issue:8 Volume:E105.D Page:1464-1471
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

WANG Cunlei¹,LI Donghui¹

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E105.D/8/E105.D_2022EDP7037/_pdf

Reference37 articles.

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2. [2] Z. Sawacha, G. Guarneri, G. Cristoferi, A. Guiotto, A. Avogaro, and C. Cobelli, “Integrated kinematics-kinetics-plantar pressure data analysis: A useful tool for characterizing diabetic foot biomechanics,” Gait & Posture, vol.36, pp.20-26, 2012. 10.1016/j.gaitpost.2011.12.007

3. [3] K. Deschamps, G.A. Matricali, D. Desmet, P. Roosen, N. Keijsers, F. Nobels, H. Bruyninckx, and F. Staes, “Efficacy measures associated to a plantar pressure based classification system in diabetic foot medicine,” Gait & posture, vol.49, pp.168-175, 2016. 10.1016/j.gaitpost.2016.07.009

4. [4] C.J. Bennetts, T.M. Owings, A. Erdemir, G. Botek, and P.R.Cavanagh, “Clustering and classification of regional peak plantar pressures of diabetic feet,” Journal of biomechanics, vol.46, pp.19-25, 2013. 10.1016/j.jbiomech.2012.09.007

5. [5] L. Cao, N. Dey, A.S. Ashour, et al., “Diabetic plantar pressure analysis using image fusion,” Multimedia Tools and Applications, pp.1-24, 2018.

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