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this is a 2D Vnet model of Keras Version,The architecture of the model is the same as the original 3D Vnet, except that this is a network for 2D image segmentation (the convolution kernel becomes 2D)

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Keras implementation of 2D Vnet

this is a 2D Vnet model of Keras Version,The architecture of the model is the same as the original 3D Vnet, except that this is a network for 2D image segmentation (the convolution kernel becomes 2D)

The visual model is as follows(The convolutional layer in the figure should be two-dimensional)

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Parameter Settings

  • stage_num:allows you to change the stage of the network. For example, the network model in the picture is 5 stage. You can set the stage_num=6 to make the network deeper into a stage. The default parameter is 5

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this is a 2D Vnet model of Keras Version,The architecture of the model is the same as the original 3D Vnet, except that this is a network for 2D image segmentation (the convolution kernel becomes 2D)

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