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. 2022 Jun 1;132(11):e157968. doi: 10.1172/JCI157968

Figure 1. Development and validation of the deep-learning system for glaucoma diagnosis and incidence and progression prediction.

Figure 1

(A) Data collection and ground truth labeling of glaucoma diagnosis based on CFPs. (B) Pipeline for glaucoma diagnosis. (C) Data collection and ground truth labeling of glaucoma incidence and progression. (D) Pipeline for predicting glaucoma development and progression. CFP, color fundus photograph; VF, visual field.