67 citations · 67 across the 2 of their papers we have counts for
2 papers
cs.LG2025
CACTUS as a Reliable Tool for Early Classification of Age-related Macular Degeneration
Luca Gherardini, Imre Lengyel, Tunde Peto +6
Machine Learning (ML) is used to tackle various tasks, such as disease classification and prediction. The effectiveness of ML models relies heavily on having large amounts of compl…
eess.IV2019★ 67 cited
A deep learning model for segmentation of geographic atrophy to study its long-term natural history
Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo +6
Purpose: To develop and validate a deep learning model for automatic segmentation of geographic atrophy (GA) in color fundus images (CFIs) and its application to study growth rate…