A standardized method to quantitatively analyze optical coherence tomography angiography images of the macular and peripapillary vessels.

Luiz Guilherme Marchesi MelloTaurino Dos Santos Rodrigues NetoEpitácio Dias da Silva NetoRony Carlos PretiMário Luiz Ribeiro MonteiroLeandro Cabral Zacharias

Published in: International journal of retina and vitreous (2022)

Our developed automated analysis of macular and peripapillary OCTA images will allow a fast, reproducible, and precise quantification of SVC, DVC, and FAZ. It would also allow more accurate comparisons between different studies and streamlines the processing of images from multiple patients with a single command.

Keyphrases

optical coherence tomography
diabetic retinopathy
deep learning
optic nerve
convolutional neural network
high resolution
high throughput
mass spectrometry