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. 2022 Feb 4;7(1):e000924. doi: 10.1136/bmjophth-2021-000924

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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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Examples of correct predictions with corresponding saliency maps (centre column) and GradCAM++ (right column) visualisation for each class. For diabetic retinopathy (DR) attribution (A–C), the model focused on the haemorrhagic areas and hard exudates. For the retinal vein occlusion (RVO) (D–F), the model detects well the diffuse haemorrhages. For the images of sickle cell retinopathy (SCR) (G–I), heatmaps of correct attribution show that the model detects peripheral lesions, but also takes into account the healthy area of the posterior pole. (J–L) A case of healthy control and corresponding heatmaps.