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Impact of lens autofluorescence and opacification on retinal imaging.

Leon von der EmdeGeena C RennenMarc VaisbandJan HasenauerRaffael G LieglMonika FleckensteinMaximilian PfauFrank G HolzThomas Ach
Published in: BMJ open ophthalmology (2024)
The use of CNN-based retinal image quality assessment achieved excellent results. The study highlights the vulnerability of BAF to lenticular remodelling. These results can aid in the development of cut-off values for clinical studies, ensuring reliable data collection for the monitoring of retinal diseases.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • optic nerve
  • high resolution
  • climate change
  • big data
  • artificial intelligence