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

Publication ,  Conference
Srivastava, R; Wong, DWK; Lixin Duan; Jiang Liu; Tien Yin Wong
Published in: Annu Int Conf IEEE Eng Med Biol Soc
August 2015

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.

Duke Scholars

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

August 2015

Volume

2015

Start / End Page

5663 / 5666

Location

United States

Related Subject Headings

  • ROC Curve
  • Image Interpretation, Computer-Assisted
  • Humans
  • Fundus Oculi
  • Diabetic Retinopathy
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Srivastava, R., Wong, D. W. K., Lixin Duan, Jiang Liu, & Tien Yin Wong. (2015). Red lesion detection in retinal fundus images using Frangi-based filters. In Annu Int Conf IEEE Eng Med Biol Soc (Vol. 2015, pp. 5663–5666). United States. https://doi.org/10.1109/EMBC.2015.7319677
Srivastava, Ruchir, Damon W. K. Wong, Lixin Duan, Jiang Liu, and Tien Yin Wong. “Red lesion detection in retinal fundus images using Frangi-based filters.” In Annu Int Conf IEEE Eng Med Biol Soc, 2015:5663–66, 2015. https://doi.org/10.1109/EMBC.2015.7319677.
Srivastava R, Wong DWK, Lixin Duan, Jiang Liu, Tien Yin Wong. Red lesion detection in retinal fundus images using Frangi-based filters. In: Annu Int Conf IEEE Eng Med Biol Soc. 2015. p. 5663–6.
Srivastava, Ruchir, et al. “Red lesion detection in retinal fundus images using Frangi-based filters.Annu Int Conf IEEE Eng Med Biol Soc, vol. 2015, 2015, pp. 5663–66. Pubmed, doi:10.1109/EMBC.2015.7319677.
Srivastava R, Wong DWK, Lixin Duan, Jiang Liu, Tien Yin Wong. Red lesion detection in retinal fundus images using Frangi-based filters. Annu Int Conf IEEE Eng Med Biol Soc. 2015. p. 5663–5666.

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

August 2015

Volume

2015

Start / End Page

5663 / 5666

Location

United States

Related Subject Headings

  • ROC Curve
  • Image Interpretation, Computer-Assisted
  • Humans
  • Fundus Oculi
  • Diabetic Retinopathy
  • Algorithms