Improving Automated PSN Assessment in Type 2 Diabetes: A Study on Plantar Lesion Recognition and Probe Avoidance Techniques-Reference-Cited by-同舟云学术

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Improving Automated PSN Assessment in Type 2 Diabetes: A Study on Plantar Lesion Recognition and Probe Avoidance Techniques

Published:2024 Issue: Volume:12 Page:102904-102917
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ur Rehman Siddiqui Hafeez¹^ORCID,Russo Riccardo²^ORCID,Ali Saleem Adil¹^ORCID,Dudley Sandra³^ORCID,Rustam Furqan⁴^ORCID

Affiliation:

1. Institute of Computer Science, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

2. Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy

3. School of Engineering, London South Bank University, London, U.K.

4. School of Computer Science, University College Dublin, Belfield Campus, Dublin 4, Ireland

Funder

University College Dublin, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10601324.pdf?arnumber=10601324

Reference31 articles.

1. Epidemiology of Peripheral Neuropathy and Lower Extremity Disease in Diabetes

2. Processing of foot pressure images and display of an advanced clinical parameter PR in Diabetic Neuropathy

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