Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 image acquisition, image preprocessing with a combination of fuzzy techniques, feature extraction, and image classification by using several machine learning techniques. The fuzzy-based image processing decision support system will assist in the diabetic retinopathy screening and reduce the burden borne by the screening team.
Original languageEnglish
Title of host publicationBrain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI
EditorsYike Guo, Karl Friston, Aldo A. Faisal, Sean Hill, Hanchuan Peng
Place of PublicationCham, Heidelberg, New York, Dordrecht, London
PublisherSpringer International
Pages379-388
Volume9250
Edition1
ISBN (Electronic)978-3-319-23344-4
ISBN (Print)978-3-319-23343-7
DOIs
Publication statusPublished - 2015
EventInteractive Machine Learning with the “human-in-the-loop”: 8th international special session of the HCI-KDD expert group - Imperial College London, London, United Kingdom
Duration: 1 Sep 20151 Sep 2015
http://hci-kdd.org/bih2015-interactive-machine-learning/

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume9250

Conference

ConferenceInteractive Machine Learning with the “human-in-the-loop”
Abbreviated titleiML@BIH
CountryUnited Kingdom
CityLondon
Period1/09/151/09/15
Internet address

Keywords

  • Machine Learning
  • Health Informatics
  • Classifiers
  • Diabetic retinopathy
  • eye screening

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)
  • Experimental

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