Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning.

ABSTRACT:

Background

To predict, using deep learning, the first recurrence in patients with neovascular age-related macular degeneration (nAMD) after three monthly loading injections of intravitreal anti-vascular endothelial growth factor (anti-VEGF).

Methods

Optical coherence tomography (OCT) images were obtained at baseline and after the loading phase. The first recurrence was defined as the initial appearance of a new retinal hemorrhage or intra/subretinal fluid accumulation after the initial resolution of exudative changes after three loading injections. Standard U-Net architecture was used to identify the three retinal fluid compartments, which include pigment epithelial detachment, subretinal fluid, and intraretinal fluid. To predict the first recurrence of nAMD, classification

SUBMITTER: Jang B 

PROVIDER: S-EPMC10702052 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature