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Automated diagnosis of diabetes maculopathy: A survey

  • Kevin Noronha*
  • , K. Prabhakar Nayak
  • *Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Radiology Nuclear Medicine and imaging
    • Health Informatics

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