Retinal layer segmentation in optical coherence tomography ... complexities of retinal images, including those from patients with severe pathologies like age-related macular degeneration (AMD ...

Deep learning has emerged as a powerful tool in the field of medical imaging, particularly in the diagnosis of retinal diseases ... to identify macular edema in OCT images. This model utilizes ...

vitreomacular traction syndromes and diabetic and cystoid macular oedema in a retrospective study. The longitudinal-B scan images and the transverse -C scan images in the coronal plane were used to ...

treated at 6 retinal referral institutions between January 2019 and December 2020, and followed them until December 2023. The research team conducted multivariate analyses of structural optical ...

We propose two effective methods for OCT image classification, combining the strength of deep learning with sparse representation of significant image features for improved detection of retinal ...

In October, Oxular began a phase 2 trial for its therapeutic candidate OXU-001, for treatment of diabetic macular edema ...

When the involuntary movements of an image across the retina are prevented, the image fades and reappears in a manner that provides new information on two major theories of perception Skip to main ...

Abstract: Diabetic macular ... damaged retinal blood vessels. Timely detection of HEs is crucial to prevent vision loss and ensure prompt treatment for DM patients. This study introduces a novel ...

Turkish researchers reported that optical coherence tomography (OCT) and OCT angiography (OCTA) provide objective supplementary measurements of the retinal nerve fiber layer (RNFL), macular ganglion ...

Designed for people experiencing macular degeneration—the ... peripheral part of the user's retina. Because each lens tackles the image from a slightly different angle, the brain's visual ...