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Differences in Mean Values and Variance in Quantitative Analyses of Foveal OCTA Imaging.

Maximilian Robert Justus WiestAnahita BajkaTimothy HamannNastasia FoaMario Domenico ToroBarthelmes DanielSandrine Zweifel
Published in: Klinische Monatsblatter fur Augenheilkunde (2022)
As expected, we were able to demonstrate significant differences in quantitative OCTA parameters gathered from the same images using different methods of quantification. Values gathered using different methods are not interchangeable. In scientific studies and in situations where long-term follow-up is necessary, the same device and the same method of quantification should be used to maintain retrospective comparability of measurements.
Keyphrases
  • high resolution
  • optical coherence tomography
  • deep learning
  • convolutional neural network
  • machine learning