Detection of Nonexudative Macular Neovascularization on Structural OCT Images Using Vision Transformers

Detection of Nonexudative Macular Neovascularization on Structural OCT Images Using Vision Transformers

Purpose: A deep learning model was developed to detect nonexudative macular neovascularization (neMNV) using OCT B-scans. Design: Retrospective review of a prospective, observational study. Participants: Normal control eyes and patients with age-related macular degeneration (AMD) with and without ne...

Full description

Bibliographic Details
Main Authors: Yuka Kihara, MS, Mengxi Shen, MD, Yingying Shi, MD, Xiaoshuang Jiang, MD, PhD, Liang Wang, BS, Rita Laiginhas, MD, PhD, Cancan Lyu, MD, PhD, Jin Yang, MD, PhD, Jeremy Liu, BS, Rosalyn Morin, Randy Lu, BS, Hironobu Fujiyoshi, PhD, William J. Feuer, MS, Giovanni Gregori, PhD, Philip J. Rosenfeld, MD, PhD, Aaron Y. Lee, MD, MSCI
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Ophthalmology Science
Subjects:
Age-related macular degeneration
Deep learning
Macular neovascularization
OCT
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522000860

Internet

http://www.sciencedirect.com/science/article/pii/S2666914522000860

Similar Items