IMAGE EVALUATION OF ARTIFICIAL INTELLIGENCE-SUPPORTED OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGING USING OCT-A1 DEVICE IN DIABETIC RETINOPATHY.

Journal: Retina (Philadelphia, Pa.)
Published Date:

Abstract

PURPOSE: To investigate the effect of denoise processing by artificial intelligence (AI) on the optical coherence tomography angiography (OCTA) images in eyes with retinal lesions.

Authors

  • Kentaro Kawai
    Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan .
  • Akihito Uji
    Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Shogoin, Kawahara, Sakyo, Kyoto, 606-8507, Japan.
  • Tomoaki Murakami
  • Shin Kadomoto
    Department of Ophthalmology, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan.
  • Yasuyuki Oritani
  • Yoko Dodo
  • Yuki Muraoka
    Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Shogoin, Kawahara, Sakyo, Kyoto, 606-8507, Japan.
  • Tadamichi Akagi
  • Manabu Miyata
    Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Shogoin, Kawahara, Sakyo, Kyoto, 606-8507, Japan.
  • Akitaka Tsujikawa
    Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Shogoin, Kawahara, Sakyo, Kyoto, 606-8507, Japan.