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

CONCLUSIONS: Our study has shown FA4SANS-GAN to be statistically significant for 2 GAN synthesis metrics. Moreover, it is robust against acquisition noise, and can retain clear biological markers compared with the other 3 GAN architectures. This deployment of this model can be crucial in the International Space Station for detecting SANS.FINANCIAL DISCLOSURES: The authors have no proprietary or commercial interest in any materials discussed in this article.PMID:38682031 | PMC:PMC11046204 | DOI:10.1016/j.xops.2024.100493

Source: Cancer Control - April 29, 2024 Category: Cancer & Oncology Authors: Sharif Amit Kamran Khondker Fariha Hossain Joshua Ong Ethan Waisberg Nasif Zaman Salah A Baker Andrew G Lee Alireza Tavakkoli Source Type: research