Deep-learning based retinal fluid segmentation in optical coherence tomography images using a cascade of ENets
Sophie Loizillon, Cédric Meurée, Camille Breuil, Timothée Faucon, Arnaud Lambert
The paper proposes a deep learning framework using a cascade of ENets to segment fluid accumulations in OCT images, achieving high Dice Scores on three datasets.
bioRxiv · Sep 24, 2021 · PreprintBioinformatics