Mixture model-based approach for optic cup segmentation.
Publication
, Journal Article
Tan, NM; Liu, J; Wong, DK; Yin, F; Lim, JH; Wong, TY
Published in: Annu Int Conf IEEE Eng Med Biol Soc
2010
Glaucoma is a leading cause of blindness with permanent damage to optic nerve head. ARGALI is an automated computer-aided diagnosis system designed for glaucoma detection via optic cup-to-disc ratio assessment. It employs several methods to determine the optic cup and disc from retinal images.
Duke Scholars
Published In
Annu Int Conf IEEE Eng Med Biol Soc
DOI
ISSN
2375-7477
Publication Date
2010
Volume
2010
Start / End Page
4817 / 4820
Location
United States
Related Subject Headings
- Sensitivity and Specificity
- Retinoscopy
- Reproducibility of Results
- Pattern Recognition, Automated
- Optic Disk
- Models, Statistical
- Models, Biological
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Humans
Citation
APA
Chicago
ICMJE
MLA
NLM
Tan, N. M., Liu, J., Wong, D. K., Yin, F., Lim, J. H., & Wong, T. Y. (2010). Mixture model-based approach for optic cup segmentation. Annu Int Conf IEEE Eng Med Biol Soc, 2010, 4817–4820. https://doi.org/10.1109/IEMBS.2010.5627901
Tan, N. M., J. Liu, D. K. Wong, F. Yin, J. H. Lim, and T. Y. Wong. “Mixture model-based approach for optic cup segmentation.” Annu Int Conf IEEE Eng Med Biol Soc 2010 (2010): 4817–20. https://doi.org/10.1109/IEMBS.2010.5627901.
Tan NM, Liu J, Wong DK, Yin F, Lim JH, Wong TY. Mixture model-based approach for optic cup segmentation. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4817–20.
Tan, N. M., et al. “Mixture model-based approach for optic cup segmentation.” Annu Int Conf IEEE Eng Med Biol Soc, vol. 2010, 2010, pp. 4817–20. Pubmed, doi:10.1109/IEMBS.2010.5627901.
Tan NM, Liu J, Wong DK, Yin F, Lim JH, Wong TY. Mixture model-based approach for optic cup segmentation. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4817–4820.
Published In
Annu Int Conf IEEE Eng Med Biol Soc
DOI
ISSN
2375-7477
Publication Date
2010
Volume
2010
Start / End Page
4817 / 4820
Location
United States
Related Subject Headings
- Sensitivity and Specificity
- Retinoscopy
- Reproducibility of Results
- Pattern Recognition, Automated
- Optic Disk
- Models, Statistical
- Models, Biological
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Humans