Computer vision algorithms in the detection of diabetic foot ulceration: a new paradigm for diabetic foot care?

Yap, MH, Ng, CC, Chatwin, K ORCID: https://orcid.org/0000-0002-9230-994X, Abbott, CA, Bowling, FL, Boulton, AJM and Reeves, ND (2016) Computer vision algorithms in the detection of diabetic foot ulceration: a new paradigm for diabetic foot care? Journal of Diabetes Science and Technology, 10 (2). pp. 612-613. ISSN 1932-2968

Preview

Accepted Version
Available under License In Copyright.
Download (2MB) | Preview

Official URL: https://doi.org/10.1177/1932296815611425

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	17 Feb 2016 09:26
Publisher:	SAGE Publications
Additional Information:	This is an Author Final Copy of a paper accepted for publication in Journal of Diabetes Science and Technology, published by and copyright Sage Publications, Inc.
Divisions:	Faculties > Science and Engineering
Subject terms:	Humans, Diabetic Foot, Algorithms, Computers, Handheld, Software, app, computer vision, foot, iPad, ulcer, Algorithms, Computers, Handheld, Diabetic Foot, Humans, Software, 1111 Nutrition and Dietetics
URI:	https://e-space.mmu.ac.uk/id/eprint/596478
DOI:	https://doi.org/10.1177/1932296815611425
ISSN	1932-2968
e-ISSN	1932-2968

Impact and Reach

Statistics

DownloadsShow export options

Activity Overview

6 month trend

529Downloads

6 month trend

422Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Repository staff only

Edit record