Bridging the resources gap: deep learning for fluorescein angiography and optical coherence tomography macular thickness map image translation.

Journal: BMC ophthalmology
Published Date: Sep 1, 2022

Abstract

BACKGROUND: To assess the ability of the pix2pix generative adversarial network (pix2pix GAN) to synthesize clinically useful optical coherence tomography (OCT) color-coded macular thickness maps based on a modest-sized original fluorescein angiography (FA) dataset and the reverse, to be used as a plausible alternative to either imaging technique in patients with diabetic macular edema (DME).

Authors

  • Hazem Abdelmotaal
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt.
  • Mohamed Sharaf
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt.
  • Wael Soliman
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt.
  • Ehab Wasfi
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt.
  • Salma M Kedwany
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt.

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