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Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system.

Publication ,  Journal Article
Gao, X; Wong, DWK; Aryaputera, AW; Sun, Y; Cheng, C-Y; Cheung, C; Wong, TY
Published in: Annu Int Conf IEEE Eng Med Biol Soc
2012

In this paper, we present a new method to detect pterygiums using cornea images. Due to the similarity of appearances and spatial locations between pterygiums and cortical cataracts, pterygiums are often falsely detected as cortical cataracts on retroillumination images by a computer-aided grading system. The proposed method can be used to filter out the pterygium which improves the accuracy of cortical cataract grading system. This work has three major contributions. First, we propose a new pupil segmentation method for visible wavelength images. Second, an automatic detection method of pterygiums is proposed. Third, we develop an enhanced compute-aided cortical cataract grading system that excludes pterygiums. The proposed method is tested using clinical data and the experimental results demonstrate that the proposed method can improve the existing automatic cortical cataract grading system.

Duke Scholars

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

2012

Volume

2012

Start / End Page

4434 / 4437

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pterygium
  • Pattern Recognition, Automated
  • Ophthalmoscopy
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Diagnosis, Differential
  • Cornea
 

Citation

APA
Chicago
ICMJE
MLA
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Gao, X., Wong, D. W. K., Aryaputera, A. W., Sun, Y., Cheng, C.-Y., Cheung, C., & Wong, T. Y. (2012). Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system. Annu Int Conf IEEE Eng Med Biol Soc, 2012, 4434–4437. https://doi.org/10.1109/EMBC.2012.6346950
Gao, Xinting, Damon Wing Kee Wong, Aloysius Wishnu Aryaputera, Ying Sun, Ching-Yu Cheng, Carol Cheung, and Tien Yin Wong. “Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system.Annu Int Conf IEEE Eng Med Biol Soc 2012 (2012): 4434–37. https://doi.org/10.1109/EMBC.2012.6346950.
Gao X, Wong DWK, Aryaputera AW, Sun Y, Cheng C-Y, Cheung C, et al. Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4434–7.
Gao, Xinting, et al. “Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system.Annu Int Conf IEEE Eng Med Biol Soc, vol. 2012, 2012, pp. 4434–37. Pubmed, doi:10.1109/EMBC.2012.6346950.
Gao X, Wong DWK, Aryaputera AW, Sun Y, Cheng C-Y, Cheung C, Wong TY. Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4434–4437.

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

2012

Volume

2012

Start / End Page

4434 / 4437

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pterygium
  • Pattern Recognition, Automated
  • Ophthalmoscopy
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Diagnosis, Differential
  • Cornea