niftynet.network.vnet module¶
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class
niftynet.network.vnet.
VNet
(num_classes, w_initializer=None, w_regularizer=None, b_initializer=None, b_regularizer=None, acti_func='relu', name='VNet')¶ Bases:
niftynet.network.base_net.BaseNet
- implementation of V-Net:
- Milletari et al., “V-Net: Fully convolutional neural networks for volumetric medical image segmentation”, 3DV ‘16
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layer_op
(images, is_training, layer_id=-1)¶
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class
niftynet.network.vnet.
VNetBlock
(func, n_conv, n_feature_chns, n_output_chns, w_initializer=None, w_regularizer=None, b_initializer=None, b_regularizer=None, acti_func='relu', name='vnet_block')¶ Bases:
niftynet.layer.base_layer.TrainableLayer
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layer_op
(main_flow, bypass_flow)¶
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