Automatic detection of glaucomatous visual field progression with neural networks.

  title={Automatic detection of glaucomatous visual field progression with neural networks.},
  author={Luca Brigatti and Kouros Nouri-Mahdavi and Michael Weitzman and Joseph Caprioli},
  journal={Archives of ophthalmology},
  volume={115 6},
OBJECTIVE To evaluate computerized neural networks to determine visual field progression in patients with glaucoma. METHODS Two hundred thirty-three series of Octopus G1 visual fields of 181 patients with glaucoma were collected. Each series was composed of 4 or more reliable visual fields from patients who had previously undergone automated perimetry. The visual fields were independently evaluated in a masked fashion by 3 experienced observers (K.N.-M, M.W., and J.C.) and were judged to show… CONTINUE READING

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