niftynet.network.highres3dnet_large module

class HighRes3DNetLarge(num_classes, w_initializer=None, w_regularizer=None, b_initializer=None, b_regularizer=None, acti_func='relu', name='HighRes3DNet')

Bases: niftynet.network.base_net.BaseNet

implementation of HighRes3DNet:

Li et al., “On the compactness, efficiency, and representation of 3D convolutional networks: Brain parcellation as a pretext task”, IPMI ‘17

(This is a larger version with an additional 3x3x3 convolution)

layer_op(images, is_training=True, layer_id=-1, keep_prob=0.5, **unused_kwargs)