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Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review.

Masoud RahimiEsmaeil Asadi KhamenehHamid Riazi-EsfahaniTahereh MahmoudiElias Khalili PourRahele Kafieh
Published in: Journal of ophthalmology (2023)
Researchers and professionals might benefit from using ImageJ because of how quickly and correctly it processes and analyzes images. It is highly adaptable and potent software, allowing users to evaluate images in a variety of ways. There exists a diverse range of methodologies for analyzing OCTA images through the utilization of ImageJ. However, it is imperative to establish a standardized strategy to ensure the reliability and consistency of the method for research purposes.
Keyphrases
  • optical coherence tomography
  • deep learning
  • convolutional neural network
  • case report
  • diabetic retinopathy