University of Surrey

Test tubes in the lab Research in the ATI Dance Research

An automated detection system for microaneurysms that is effective across different racial groups

Saleh, GM, Wawrzynski, J, Caputo, S, Peto, T, Al turk, LI, Wang, S, Hu, Y, Da Cruz, L, Smith, P and Tang, HL (2016) An automated detection system for microaneurysms that is effective across different racial groups Journal of Ophthalmology.

[img]
Preview
Text
Revised Manuscript.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (396kB) | Preview
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

Patients without diabetic retinopathy (DR) represent a large proportion of the caseload seen by the DR screening service so reliable recognition of the absence of DR in digital fundus images (DFIs) is a prime focus of automated DR screening research. We investigate the use of a novel automated DR detection algorithm to assess retinal DFIs for absence of DR. A retrospective, masked, controlled image-based study was undertaken. 17,850 DFIs of patients from six different countries were assessed for DR by the automated system and by human graders. The system’s performance was compared across DFIs from the different countries/ racial groups. The sensitivities for detection of DR by the automated system were: Kenya 92.8%, Botswana 90.1%, Norway 93.5%, Mongolia 91.3%, China 91.9%, and UK 90.1%. The specificities were: Kenya 82.7%, Botswana 83.2%, Norway 81.3%, Mongolia 82.5%, China 83.0% and UK 79%. There was little variability in the calculated sensitivities and specificities across the six different countries involved in the study. These data suggest the possible scalability of an automated DR detection platform that enables rapid identification of patients without DR across a wide range of races.

Item Type: Article
Subjects : Computing
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Saleh, GMUNSPECIFIEDUNSPECIFIED
Wawrzynski, JUNSPECIFIEDUNSPECIFIED
Caputo, SUNSPECIFIEDUNSPECIFIED
Peto, TUNSPECIFIEDUNSPECIFIED
Al turk, LIUNSPECIFIEDUNSPECIFIED
Wang, SUNSPECIFIEDUNSPECIFIED
Hu, YUNSPECIFIEDUNSPECIFIED
Da Cruz, LUNSPECIFIEDUNSPECIFIED
Smith, PUNSPECIFIEDUNSPECIFIED
Tang, HLUNSPECIFIEDUNSPECIFIED
Date : 2016
Copyright Disclaimer : Copyright © 2016. 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.
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 22 Aug 2016 13:37
Last Modified : 22 Aug 2016 13:37
URI: http://epubs.surrey.ac.uk/id/eprint/811762

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800