Red lesion detection in retinal fundus images using Frangi-based filters.

Published

Conference Paper

This paper presents a method to detect red lesions related to Diabetic Retinopathy (DR), namely Microaneurysms and Hemorrhages from retinal fundus images with robustness to the presence of blood vessels. Filters based on Frangi filters are used for the first time for this task. Green channel of the input image was decomposed into smaller sub images and proposed filters were applied to each sub image after initial preprocessing. Features were extracted from the filter response and used to train a Support Vector Machine classifier to predict whether a test image had lesions or not. Experiments were performed on a dataset of 143 retinal fundus and the proposed method achieved areas under the ROC curve equal to 0.97 and 0.87 for Microaneurysms and Hemorrhages respectively. Results show the effectiveness of the proposed method for detecting red lesions. This method can help significantly in automated detection of DR with fewer false positives.

Full Text

Duke Authors

Cited Authors

  • Srivastava, R; Wong, DWK; Lixin Duan, ; Jiang Liu, ; Tien Yin Wong,

Published Date

  • August 2015

Published In

Volume / Issue

  • 2015 /

Start / End Page

  • 5663 - 5666

PubMed ID

  • 26737577

Pubmed Central ID

  • 26737577

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/embc.2015.7319677