FA4SANS-GAN: A Novel Machine Learning Generative Adversarial Network to Further Understand Ophthalmic Changes in Spaceflight Associated Neuro-Ocular Syndrome (SANS)

FA4SANS-GAN: A Novel Machine Learning Generative Adversarial Network to Further Understand Ophthalmic Changes in Spaceflight Associated Neuro-Ocular Syndrome (SANS)

Purpose: To provide an automated system for synthesizing fluorescein angiography (FA) images from color fundus photographs for averting risks associated with fluorescein dye and extend its future application to spaceflight associated neuro-ocular syndrome (SANS) detection in spaceflight where resour...

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Bibliographic Details
Main Authors: Sharif Amit Kamran, PhD, Khondker Fariha Hossain, MS, Joshua Ong, MD, Ethan Waisberg, Mb BCh, BAO, Nasif Zaman, MS, Salah A. Baker, PhD, Andrew G. Lee, MD, Alireza Tavakkoli, PhD
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Ophthalmology Science
Subjects:
Spaceflight-associated neuro-ocular syndrome
Generative adversarial networks
Ophthalmic imaging
Space medicine
Astronaut
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914524000290

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