niftynet.network.dense_vnet module¶
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class
DenseVNet
(num_classes, hyperparameters={}, architecture_parameters={}, w_initializer=None, w_regularizer=None, b_initializer=None, b_regularizer=None, acti_func='relu', name='DenseVNet')[source]¶ Bases:
niftynet.network.base_net.BaseNet
- implementation of Dense-V-Net:
- Gibson et al., “Automatic multi-organ segmentation on abdominal CT with dense V-networks”
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class
DenseFeatureStackBlock
(n_dense_channels, kernel_size, dilation_rates, use_bdo, name='dense_feature_stack_block', **kwargs)[source]¶
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class
DenseFeatureStackBlockWithSkipAndDownsample
(n_dense_channels, kernel_size, dilation_rates, n_seg_channels, n_downsample_channels, use_bdo, name='dense_feature_stack_block', **kwargs)[source]¶