Applications of Deep Learning

Applications of Deep Learning

Objective: To develop a generative adversarial network (GAN) to segment major blood vessels from retinal flat-mount images from oxygen-induced retinopathy (OIR) and demonstrate the utility of these GAN-generated vessel segmentations in quantifying vascular tortuosity. Design: Development and validat...

Full description

Bibliographic Details
Main Authors: Jimmy S. Chen, MD, Kyle V. Marra, MD, PhD, Hailey K. Robles-Holmes, BS, Kristine B. Ly, BS, Joseph Miller, MS, Guoqin Wei, PhD, Edith Aguilar, MD, Felicitas Bucher, MD, PhD, Yoichi Ideguchi, BS, Aaron S. Coyner, PhD, Napoleone Ferrara, MD, J. Peter Campbell, MD, MPH, Martin Friedlander, MD, PhD, Eric Nudleman, MD, PhD
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Data science
Oxygen-induced retinopathy
Vascular tortuosity
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523000702

Internet

http://www.sciencedirect.com/science/article/pii/S2666914523000702

Similar Items