Bulletin of ANPA

Abstract submitted to ANPA Conference July 14–16, 2023

Volume 5, Number 1

Data Science, Quantum Computing, Artificial Intelligence

Abstract ID: ANPA2023-N00077

Abstract:

ANPA2023-N00077: Segmentation of Retinal Nerve Fiber Layer using Deep Learning in experimental glaucoma model of Nonhuman Primates.

Authors:

• Kamal R Dhakal; AbbVie Inc

Glaucoma, a multifactorial neurodegenerative disease, is characterized by retinal ganglion cell loss during disease progression, which results in retinal nerve fiber layer (RNFL) thinning. Segmentation of the retinal layers often fails in diseased eye conditions; therefore, manual correction is necessary, which is time-consuming and prone to errors and subjective bias. Erroneous segmentation of RNFL alters the measurements and adversely impacts the therapeutic results. Herein, we developed a deep learning (DL) model to accurately segment and quantify RNFL thicknesses obtained from OCT images of experimentally induced chronic ocular hypertension nonhuman primate (OHT NHP) glaucoma model.

To cite this abstract, use the following reference: https://anpaglobal.org/conference/2023/ANPA2023-N00077