LONGL-Net: temporal correlation structure guided deep learning model to predict longitudinal age-related macular degeneration severity

• Published in: PNAS nexus Vol. 1; no. 1; p. pgab003
• Main Authors: Ganjdanesh, Alireza, Zhang, Jipeng, Chew, Emily Y, Ding, Ying, Huang, Heng, Chen, Wei
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.03.2022
• Subjects: Accuracy; Age; Age related diseases; Biological, Health, and Medical Sciences; Blindness; Classification; Color vision; Deep learning; Developed countries; Diagnosis; Eye diseases; Financial planners; Generative adversarial networks; Health aspects; Machine learning; Macular degeneration; Medical research; Medicine, Experimental; Physiological aspects; United States; Germany; deep learning; Generative Adversarial Networks; longitudinal outcome prediction; age-related macular degeneration

Age-related macular degeneration (AMD) is the principal cause of blindness in developed countries, and its prevalence will increase to 288 million people in 2040. Therefore, automated grading and prediction methods can be highly beneficial for recognizing susceptible subjects to late-AMD and enablin...