Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms.

Journal: PloS one
PMID: 39680554

Abstract

PURPOSE: The objective of this study is to estimate the area of the Foveal Avascular Zone (FAZ) from B-scan OCT images using machine learning algorithms.

Authors

  • Taku Toyama
    Department of Ophthalmology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ichiro Maruko
    Department of Ophthalmology, Tokyo Women's Medical University, Shinjuku, Tokyo, Japan.
  • Han Peng Zhou
    Department of Ophthalmology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
  • Miki Ikeda
    Department of Ophthalmology, Tokyo Women's Medical University, Tokyo, Japan.
  • Taiji Hasegawa
    Department of Ophthalmology, Tokyo Women's Medical University, Tokyo, Japan.
  • Tomohiro Iida
    Department of Ophthalmology, Tokyo Women's Medical University, Shinjuku, Tokyo, Japan.
  • Makoto Aihara
    Department of Ophthalmology and Vision Correction, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Takashi Ueta
    Department of Ophthalmology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.

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