Deep Learning for prediction of late recurrence of retinal detachment using preoperative and postoperative ultra-wide field imaging.

Fiammetta Catania Thibaut Chapron Emanuele Crincoli Alexandra Miere Abdelmassih Youssef William Beaumont Ismael ChehaibouFlorence MetgeSebastien BruneauSophie BonninEric H SouiedGeorges Caputo

Published in: Acta ophthalmologica (2024)

DL can accurately predict the LR of RRD based on UWF images (especially postoperative ones), which can help refine follow-up strategies. Saliency maps might provide further insight into the dynamics of RRD recurrence.

Keyphrases

deep learning
patients undergoing
high resolution
convolutional neural network
free survival
artificial intelligence
machine learning
optical coherence tomography
fluorescence imaging