Screening Prolifetive Diabetic Retinopathy through color retinal images

Qin Li, Yi Bo Zhang, Xue Min Jin, Jia You, Prabir Bhattacharya

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Diabetic Retinopathy (DR) is a common complication of diabetes that damages the eye's retina. Recognition DR as early as possible is very important to protect patients' vision. We propose a method for screening DR and distinguishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retinopathy (NPDR) automatically through color retinal images. This method evaluates the severity of DR by analyzing the retinal vessel patterns. The retinal vessels are automatically extracted using multiscale matched filters. Then the vessel patterns are analyzed by extracting the vessel net density. The experimental results demonstrate that it is a possible solution to screen DR and distinguish PDR from NPDR by only using color retinal images.
Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007
Pages574-578
Number of pages5
Publication statusPublished - 1 Dec 2007
Event2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007 - Las Vegas, NV, United States
Duration: 25 Jun 200728 Jun 2007

Conference

Conference2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007
CountryUnited States
CityLas Vegas, NV
Period25/06/0728/06/07

Keywords

  • Color retinal images
  • DR
  • Multiscale matched filters
  • NPDR
  • PDR
  • Retinal vessel extraction

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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