Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3066208
Abstract: Retinal layers segmentation in optical coherence tomography (OCT) images is a critical step in the diagnosis of numerous ocular diseases. Automatic layers segmentation requires separating each individual layer instance with accurate boundary detection, but remains… read more here.
Keywords: optical coherence; segmentation optical; boundary detection; coherence tomography ... See more keywords
Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks.
Sign Up to like & getrecommendations! Published in 2017 at "Biomedical optics express"
DOI: 10.1364/boe.8.003292
Abstract: We developed a fully automated system using a convolutional neural network (CNN) for total retina segmentation in optical coherence tomography (OCT) that is robust to the presence of severe retinal pathology. A generalized U-net network… read more here.
Keywords: optical coherence; using convolutional; segmentation; convolutional neural ... See more keywords