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Fig. 2 | International Journal of Retina and Vitreous

Fig. 2

From: Artificial intelligence in chorioretinal pathology through fundoscopy: a comprehensive review

Fig. 2

Automated segmentation of soft exudates (SE), hard exudates (EX), hemorrhage (HE), and microaneurysms (MA) using multiple U-Net architectures. Reprinted with permission from Xu et al. Xu Y, Zhou Z, Li X, Zhang N, Zhang M, Wei P. FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy. Biomed Res Int. 2021 Jan 2;2021:6644071 under Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/legalcode)

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