Retinal layer and fluid segmentation in optical coherence tomography images using a hierarchical framework.

Tânia MeloÂngela CarneiroAurélio CampilhoAna Maria Mendonça

Published in: Journal of medical imaging (Bellingham, Wash.) (2023)

The proposed framework led to significant improvements in fluid segmentation, without compromising the results in the retinal layers. Thus, its output can be used by ophthalmologists as a second opinion or as input for automatic extraction of relevant quantitative biomarkers.

Keyphrases

optical coherence tomography
deep learning
convolutional neural network
diabetic retinopathy
optic nerve
machine learning
high resolution