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Similarity regularized sparse group lasso for cup to disc ratio computation

Publication ,  Journal Article
Cheng, J; Zhang, Z; Tao, D; Wong, DWK; Liu, J; Baskaran, M; Aung, T; Wong, TY
Published in: Biomedical Optics Express
August 1, 2017

Automatic cup to disc ratio (CDR) computation from color fundus images has shown to be promising for glaucoma detection. Over the past decade, many algorithms have been proposed. In this paper, we first review the recent work in the area and then present a novel similarity-regularized sparse group lasso method for automated CDR estimation. The proposed method reconstructs the testing disc image based on a set of reference disc images by integrating the similarity between testing and the reference disc images with the sparse group lasso constraints. The reconstruction coefficients are then used to estimate the CDR of the testing image. The proposed method has been validated using 650 images with manually annotated CDRs. Experimental results show an average CDR error of 0.0616 and a correlation coefficient of 0.7, outperforming other methods. The areas under curve in the diagnostic test reach 0.843 and 0.837 when manual and automatically segmented discs are used respectively, better than other methods as well.

Duke Scholars

Published In

Biomedical Optics Express

DOI

EISSN

2156-7085

Publication Date

August 1, 2017

Volume

8

Issue

8

Start / End Page

3763 / 3777

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 3212 Ophthalmology and optometry
  • 0912 Materials Engineering
  • 0205 Optical Physics
 

Citation

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MLA
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Cheng, J., Zhang, Z., Tao, D., Wong, D. W. K., Liu, J., Baskaran, M., … Wong, T. Y. (2017). Similarity regularized sparse group lasso for cup to disc ratio computation. Biomedical Optics Express, 8(8), 3763–3777. https://doi.org/10.1364/BOE.8.003763
Cheng, J., Z. Zhang, D. Tao, D. W. K. Wong, J. Liu, M. Baskaran, T. Aung, and T. Y. Wong. “Similarity regularized sparse group lasso for cup to disc ratio computation.” Biomedical Optics Express 8, no. 8 (August 1, 2017): 3763–77. https://doi.org/10.1364/BOE.8.003763.
Cheng J, Zhang Z, Tao D, Wong DWK, Liu J, Baskaran M, et al. Similarity regularized sparse group lasso for cup to disc ratio computation. Biomedical Optics Express. 2017 Aug 1;8(8):3763–77.
Cheng, J., et al. “Similarity regularized sparse group lasso for cup to disc ratio computation.” Biomedical Optics Express, vol. 8, no. 8, Aug. 2017, pp. 3763–77. Scopus, doi:10.1364/BOE.8.003763.
Cheng J, Zhang Z, Tao D, Wong DWK, Liu J, Baskaran M, Aung T, Wong TY. Similarity regularized sparse group lasso for cup to disc ratio computation. Biomedical Optics Express. 2017 Aug 1;8(8):3763–3777.
Journal cover image

Published In

Biomedical Optics Express

DOI

EISSN

2156-7085

Publication Date

August 1, 2017

Volume

8

Issue

8

Start / End Page

3763 / 3777

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4003 Biomedical engineering
  • 3212 Ophthalmology and optometry
  • 0912 Materials Engineering
  • 0205 Optical Physics