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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: Exp Eye Res. 2021 Nov 16;214:108844. doi: 10.1016/j.exer.2021.108844

Figure 2.

Figure 2

Proposed CNN Model: LF-DRAG-UNet. The network is trained on OCT and SV-OCT images using separate encoder branches that are fused downstream. A multi-scale input image pyramid and dilated residual convolutions are used to provide more global information. Attention gating is used to prune irrelevant regions of the feature maps.