Fig. 4
From: Deep learning algorithm predicts diabetic retinopathy progression in individual patients
Example of attribution maps placed side by side to the original test color fundus image. In each set, the original image is on the left and the attribution map is on the right. The attribution of the deep convolutional neural networks focuses mainly on microaneurysms, hemorrhages, and exudates. a Two examples of attribution maps for the model predicting diabetic retinopathy (DR) progression at month 6. b Two examples of attribution maps for the artificial intelligence model predicting DR progression at month 12. c Two examples of attribution maps for the model predicting DR progression at month 24
