Skip to main content
The British Journal of Ophthalmology logoLink to The British Journal of Ophthalmology
. 1996 Nov;80(11):937–938. doi: 10.1136/bjo.80.11.937

Towards the automatic interpretation of retinal images.

P Undrill
PMCID: PMC505665  PMID: 8976716

Full text

PDF
937

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Brigatti L., Hoffman D., Caprioli J. Neural networks to identify glaucoma with structural and functional measurements. Am J Ophthalmol. 1996 May;121(5):511–521. doi: 10.1016/s0002-9394(14)75425-x. [DOI] [PubMed] [Google Scholar]
  2. Goldbaum M. H., Sample P. A., White H., Côlt B., Raphaelian P., Fechtner R. D., Weinreb R. N. Interpretation of automated perimetry for glaucoma by neural network. Invest Ophthalmol Vis Sci. 1994 Aug;35(9):3362–3373. [PubMed] [Google Scholar]
  3. Hopfield J. J. Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci U S A. 1982 Apr;79(8):2554–2558. doi: 10.1073/pnas.79.8.2554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Madsen E. M., Yolton R. L. Demonstration of a neural network expert system for recognition of glaucomatous visual field changes. Mil Med. 1994 Aug;159(8):553–557. [PubMed] [Google Scholar]
  5. Mutlukan E., Keating D. Visual field interpretation with a personal computer based neural network. Eye (Lond) 1994;8(Pt 3):321–323. doi: 10.1038/eye.1994.65. [DOI] [PubMed] [Google Scholar]
  6. Spenceley S. E., Henson D. B., Bull D. R. Visual field analysis using artificial neural networks. Ophthalmic Physiol Opt. 1994 Jul;14(3):239–248. doi: 10.1111/j.1475-1313.1994.tb00004.x. [DOI] [PubMed] [Google Scholar]

Articles from The British Journal of Ophthalmology are provided here courtesy of BMJ Publishing Group

RESOURCES