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Automated lesion detection in retinal images

Published: 26 October 2011 Publication History

Abstract

This paper describes automated lesion detection in retinal images. Physicians and ophthalmologists assess retinal images for several kinds of lesions, including hemorrhages, exudates, and arteriolar narrowing. Hemorrhage is a major sign of diabetic retinopathy, which is the second most common cause of vision loss. Arteriolar narrowing is a major sign of hypertensive retinopathy. The aim of this study was to measure arteriolar-to-venular diameter ratio for the detection of arteriolar narrowing and to develop a hemorrhage detection method. Blood vessels and hemorrhages were extracted using a double-ring filter. This filter device calculates the difference between the average pixel values of the inside and outside regions. Arteriolar narrowing is determined based on major arteriolar-to-venular diameter ratios. Thus, the major blood vessels were extracted and the arteriolar-to-venular diameter ratio was automatically calculated based on the artery and vein diameter measurements. Finally, the hemorrhage candidates remained after the blood vessels were "erased" from the image and hemorrhages were detected by machine learning methods using 64 texture features. We tested 20 retinal images from the DRIVE database to evaluate our proposed arteriolar-to-venular diameter ratio measurement method. Both the average error and the standard deviation of the arteriolar-to-venular diameter ratio measurements were 0.07 ± 0.06. We evaluated the proposed method for hemorrhage detection by testing 71 retinal images, including 53 images with hemorrhages and 18 normal ones. The sensitivity and specificity for the detection of abnormal cases were 83% and 67%, respectively.

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Cited By

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  • (2015)Detection of macular whitening and retinal hemorrhages for diagnosis of malarial retinopathy2015 IEEE International Conference on Imaging Systems and Techniques (IST)10.1109/IST.2015.7294515(1-5)Online publication date: Sep-2015
  • (2014)Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination EstimationImage Analysis and Recognition10.1007/978-3-319-11755-3_37(329-336)Online publication date: 10-Oct-2014

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. arteriolar narrowing
  2. hemorrhage
  3. medical image detection
  4. pixel classification
  5. retinopathy

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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Cited By

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  • (2015)Detection of macular whitening and retinal hemorrhages for diagnosis of malarial retinopathy2015 IEEE International Conference on Imaging Systems and Techniques (IST)10.1109/IST.2015.7294515(1-5)Online publication date: Sep-2015
  • (2014)Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination EstimationImage Analysis and Recognition10.1007/978-3-319-11755-3_37(329-336)Online publication date: 10-Oct-2014

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