Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing

Sarni Suhaila Rahim, Vasile Palade, Chrisina Jayne, Andreas Holzinger, James Shuttleworth

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

14 Citations (Scopus)

Abstract

Abstract Diabetic retinopathy is a damage of the retina and it is one of the serious
consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of ...
Original languageEnglish
Title of host publicationInternational Conference on Brain Informatics and Health
PublisherSpringer
Pages379
Number of pages9
DOIs
Publication statusPublished - 30 Aug 2015

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9250

Keywords

  • Diabetic Retinopathy
  • Eye Screening
  • colour fundus images
  • Fuzzy image processing
  • Machine learning
  • Classifiers

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  • Cite this

    Rahim, S. S., Palade, V., Jayne, C., Holzinger, A., & Shuttleworth, J. (2015). Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. In International Conference on Brain Informatics and Health (pp. 379). (Lecture Notes in Computer Science; Vol. 9250). Springer. https://doi.org/10.1007/978-3-319-23344-4_37