Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

1 code implementation • 11 Aug 2023 • Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli

However, due to the unavailability of experts in these locations, the data has to be transferred to an urban healthcare facility (AMD and glaucoma) or a terrestrial station (e. g, SANS) for more precise disease identification.

Image Super-Resolution