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Optic cup segmentation for glaucoma detection using low-rank superpixel representation.

Publication ,  Journal Article
Xu, Y; Duan, L; Lin, S; Chen, X; Wong, DWK; Wong, TY; Liu, J
Published in: Med Image Comput Comput Assist Interv
2014

We present an unsupervised approach to segment optic cups in fundus images for glaucoma detection without using any additional training images. Our approach follows the superpixel framework and domain prior recently proposed in, where the superpixel classification task is formulated as a low-rank representation (LRR) problem with an efficient closed-form solution. Moreover, we also develop an adaptive strategy for automatically choosing the only parameter in LRR and obtaining the final result for each image. Evaluated on the popular ORIGA dataset, the results show that our approach achieves better performance compared with existing techniques.

Duke Scholars

Published In

Med Image Comput Comput Assist Interv

DOI

Publication Date

2014

Volume

17

Issue

Pt 1

Start / End Page

788 / 795

Location

Germany

Related Subject Headings

  • Subtraction Technique
  • Sensitivity and Specificity
  • Retinoscopy
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Optic Disk
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Glaucoma
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Xu, Y., Duan, L., Lin, S., Chen, X., Wong, D. W. K., Wong, T. Y., & Liu, J. (2014). Optic cup segmentation for glaucoma detection using low-rank superpixel representation. Med Image Comput Comput Assist Interv, 17(Pt 1), 788–795. https://doi.org/10.1007/978-3-319-10404-1_98
Xu, Yanwu, Lixin Duan, Stephen Lin, Xiangyu Chen, Damon Wing Kee Wong, Tien Yin Wong, and Jiang Liu. “Optic cup segmentation for glaucoma detection using low-rank superpixel representation.Med Image Comput Comput Assist Interv 17, no. Pt 1 (2014): 788–95. https://doi.org/10.1007/978-3-319-10404-1_98.
Xu Y, Duan L, Lin S, Chen X, Wong DWK, Wong TY, et al. Optic cup segmentation for glaucoma detection using low-rank superpixel representation. Med Image Comput Comput Assist Interv. 2014;17(Pt 1):788–95.
Xu, Yanwu, et al. “Optic cup segmentation for glaucoma detection using low-rank superpixel representation.Med Image Comput Comput Assist Interv, vol. 17, no. Pt 1, 2014, pp. 788–95. Pubmed, doi:10.1007/978-3-319-10404-1_98.
Xu Y, Duan L, Lin S, Chen X, Wong DWK, Wong TY, Liu J. Optic cup segmentation for glaucoma detection using low-rank superpixel representation. Med Image Comput Comput Assist Interv. 2014;17(Pt 1):788–795.

Published In

Med Image Comput Comput Assist Interv

DOI

Publication Date

2014

Volume

17

Issue

Pt 1

Start / End Page

788 / 795

Location

Germany

Related Subject Headings

  • Subtraction Technique
  • Sensitivity and Specificity
  • Retinoscopy
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Optic Disk
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Glaucoma