Cynomolgus monkey's retina volume reference database based on hybrid deep learning optical coherence tomography segmentation.

ABSTRACT: Cynomolgus monkeys (Macaca fascicularis) are commonly used in pre-clinical ocular studies. However, studies that report the morphological features of the macaque retina are based only on minimal sample sizes; therefore, little is known about the normal distribution and background variation. This study was conducted using optical coherence tomography (OCT) imaging to investigate the variations in retinal volumes of healthy cynomolgus monkeys and the effects of sex, origin, and eye side on the retinal volumes to establish a comprehensive reference database. A machine-learning algorithm was employed to segment the retina within the OCT data (i.e., generated pixel-wise labels). Furthermore, a classical computer vision algorithm has identified the deepest point in a foveolar depression. The ret

SUBMITTER: Denk N 

PROVIDER: S-EPMC10083168 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature