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Fig. 2
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Basic convolution block used in the model. For Unet and Unet++, each node is made up of two consecutive occurrences of this block, while a single one is used for the nodes of Unet3+. The dropout layer encompasses all the other layers in a node, and is used to randomly forgo the computation of feature channels.
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