Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc.

@article{Bowd2002ComparingNN,
  title={Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc.},
  author={Christopher Bowd and Kwokleung Chan and Linda M. Zangwill and Michael H. Goldbaum and Te-Won Lee and Terrence J. Sejnowski and Robert N. Weinreb},
  journal={Investigative ophthalmology & visual science},
  year={2002},
  volume={43 11},
  pages={3444-54}
}
PURPOSE To determine whether neural network techniques can improve differentiation between glaucomatous and nonglaucomatous eyes, using the optic disc topography parameters of the Heidelberg Retina Tomograph (HRT; Heidelberg Engineering, Heidelberg, Germany). METHODS With the HRT, one eye was imaged from each of 108 patients with glaucoma (defined as having repeatable visual field defects with standard automated perimetry) and 189 subjects without glaucoma (no visual field defects with… CONTINUE READING
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