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DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images

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Academic year: 2021

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Figure

Figure 1. Overall algorithm training diagram.
Figure 2. Shadow detection network architecture. Numbers on top of each rectangle represent the number of feature maps, and numbers below each rectangle represent the feature map size
Figure 3. All arrows represent a forward pass of the output from one layer to the input of the next layer
Figure 4. Masking of baseline and deshadowed images during content loss and style loss calculations
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