Image analysis of ocular fundus for retinopathy characterization

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Automated analysis of ocular fundus images is a common procedure in countries as England, including both nonemergency examination and retinal screening of patients with diabetes mellitus. This involves digital image capture and transmission of the images to a digital reading center for evaluation and treatment referral. In collaboration with the Optometry Department, University of California, Berkeley, we have tested computer vision algorithms to segment vessels and lesions in ground-truth data (DRIVE database) and hundreds of images of non-macular centric and nonuniform illumination views of the eye fundus from EyePACS program. Methods under investigation involve mathematical morphology (Figure 1) for image ... continued below

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Ushizima, Daniela & Cuadros, Jorge February 5, 2010.

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Description

Automated analysis of ocular fundus images is a common procedure in countries as England, including both nonemergency examination and retinal screening of patients with diabetes mellitus. This involves digital image capture and transmission of the images to a digital reading center for evaluation and treatment referral. In collaboration with the Optometry Department, University of California, Berkeley, we have tested computer vision algorithms to segment vessels and lesions in ground-truth data (DRIVE database) and hundreds of images of non-macular centric and nonuniform illumination views of the eye fundus from EyePACS program. Methods under investigation involve mathematical morphology (Figure 1) for image enhancement and pattern matching. Recently, we have focused in more efficient techniques to model the ocular fundus vasculature (Figure 2), using deformable contours. Preliminary results show accurate segmentation of vessels and high level of true-positive microaneurysms.

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  • Bay Area Vision Meeting, Feb 5th, Berkeley, CA 2010.

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  • Report No.: LBNL-4227E-Poster
  • Grant Number: DE-AC02-05CH11231
  • DOI: 10.2172/1004692 | External Link
  • Office of Scientific & Technical Information Report Number: 1004692
  • Archival Resource Key: ark:/67531/metadc846554

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • February 5, 2010

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Nov. 8, 2016, 12:11 p.m.

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Ushizima, Daniela & Cuadros, Jorge. Image analysis of ocular fundus for retinopathy characterization, report, February 5, 2010; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc846554/: accessed January 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.