The effect of optical degradation from cataract using a new Deep Learning optical coherence tomography segmentation algorithm.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date: Oct 16, 2023

Abstract

PURPOSE: To assess the validity of the results of a freely available online Deep Learning segmentation tool and its sensitivity to noise introduced by cataract.

Authors

  • Davide Allegrini
    Eye Center, Humanitas Gavazzeni-Castelli, Bergamo, Italy.
  • Raffaele Raimondi
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20072, Milan, Italy. raffor9@gmail.com.
  • Tania Sorrentino
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20072, Milan, Italy.
  • Domenico Tripepi
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20072, Milan, Italy.
  • Elisa Stradiotto
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20072, Milan, Italy.
  • Marco Caruso
    PolitoBIOMed Lab-Biomedical Engineering Lab and Department of Electronics and Telecommunications, Politecnico Di Torino, 10129, Turin, Italy.
  • Francesco Paolo De Rosa
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4Pieve Emanuele, 20072, Milan, Italy.
  • Mario R Romano
    Eye Center, Humanitas Gavazzeni-Castelli, Bergamo, Italy.

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