Automated diagnosis of diabetes maculopathy

A survey

Kevin Noronha, K. Prabhakar Nayak

Research output: Contribution to journalReview article

10 Citations (Scopus)

Abstract

Diabetes is a chronic illness caused by the reduced production of insulin, or by decreased ability to use insulin. Prolonged diabetes may affect the tiny blood vessels of the eye called diabetes retinopathy (DR). Diabetic maculopathy (DM) results when the fluid rich fat and cholesterol leakes out of damaged blood vessels and accumulates near the centre of the retina (macula). This may affect the central vision. This survey outlines the description, and algorithms used for the automated detection of diabetic maculopathy. Methods used for the detection of retinal features such as Optic disc, fovea and the exudates used for the automated detection of DM were discussed. Finally, a summary of various automated DM diagnosis were summarized.

Original languageEnglish
Pages (from-to)280-287
Number of pages8
JournalJournal of Medical Imaging and Health Informatics
Volume3
Issue number2
DOIs
Publication statusPublished - 06-2013

Fingerprint

Blood Vessels
Insulin
Aptitude
Optic Disk
Exudates and Transudates
Retina
Chronic Disease
Fats
Cholesterol
Surveys and Questionnaires

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Health Informatics

Cite this

Noronha, Kevin ; Nayak, K. Prabhakar. / Automated diagnosis of diabetes maculopathy : A survey. In: Journal of Medical Imaging and Health Informatics. 2013 ; Vol. 3, No. 2. pp. 280-287.
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Automated diagnosis of diabetes maculopathy : A survey. / Noronha, Kevin; Nayak, K. Prabhakar.

In: Journal of Medical Imaging and Health Informatics, Vol. 3, No. 2, 06.2013, p. 280-287.

Research output: Contribution to journalReview article

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