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. 2020 Jan 8;11:130. doi: 10.1038/s41467-019-13922-8

Fig. 1. Illustration of our proposed approach for developing a ci-DME model.

Fig. 1

Ground truth for ci-DME were derived from a human grader analyzing the OCT for each case. In addition, subretinal fluid and intraretinal fluid presence grades were also collected. These ground truth labels and corresponding color fundus photos were used for model training. For clinical validation, the trained model takes in a new fundus photo and generates a predicted ci-DME grade, predicted subretinal fluid, and intraretinal fluid presence grades.