Machine learning approach to automatic exudate detection in retinal images from diabetic patients

  • Akara Sopharak
  • , Matthew N. Dailey
  • , Bunyarit Uyyanonvara
  • , Sarah Barman
  • , Tom Williamson
  • , Khine Thet Nwe
  • , Yin Aye Moe

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)124-135
    JournalJournal of Modern Optics
    Volume57
    Issue number2
    DOIs
    Publication statusPublished - Jan 2010

    Bibliographical note

    Note: This work was supported by was supported by the Thailand National Electronics and Computer Technology Center (NECTEC) and by Thailand Research Fund Grant MRG4780209.

    Keywords

    • exudate
    • diabetic retinopathy
    • naive bayes classifier
    • support vector machine
    • nearest neighbour classifier
    • fundus images
    • retinopathy
    • classification
    • Computer science and informatics

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