most citedSelf-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2021★ 2 cited

Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina

Jan Kukačka, Anja Zenz, Marcel Kollovieh +2

Fundus photography is the primary method for retinal imaging and essential for diabetic retinopathy prevention. Automated segmentation of fundus photographs would improve the quali…