Index

A

abs_vol_difference() (in module dltk.core.metrics) add_gaussian_noise() (in module dltk.io.augmentation)

add_gaussian_offset() (in module dltk.io.augmentation) after_create_session() (dltk.io.abstract_reader.IteratorInitializerHook method) asymmetric_residual_unet_3d() (in module dltk.networks.segmentation.unet)

C

convolutional_autoencoder_3d() (in module dltk.networks.autoencoder.convolutional_autoencoder)

crop_central_block() (in module dltk.networks.segmentation.deepmedic) crossentropy() (in module dltk.core.metrics)

D

dcgan_discriminator_3d() (in module dltk.networks.gan.dcgan) dcgan_generator_3d() (in module dltk.networks.gan.dcgan) deepmedic_3d() (in module dltk.networks.segmentation.deepmedic) dice() (in module dltk.core.metrics) dice_loss() (in module dltk.core.losses) dltk (module) dltk.core (module) dltk.core.activations (module) dltk.core.losses (module) dltk.core.metrics (module) dltk.core.residual_unit (module) dltk.core.upsample (module) dltk.io (module) dltk.io.abstract_reader (module) dltk.io.augmentation (module)

dltk.io.preprocessing (module) dltk.networks (module) dltk.networks.autoencoder (module) dltk.networks.autoencoder.convolutional_autoencoder (module) dltk.networks.gan (module) dltk.networks.gan.dcgan (module) dltk.networks.regression_classification (module) dltk.networks.regression_classification.resnet (module) dltk.networks.segmentation (module) dltk.networks.segmentation.deepmedic (module) dltk.networks.segmentation.fcn (module) dltk.networks.segmentation.unet (module) dltk.networks.super_resolution (module) dltk.networks.super_resolution.simple_super_resolution (module) dltk.utils (module)

E

elastic_transform() (in module dltk.io.augmentation)

extract_class_balanced_example_array() (in module dltk.io.augmentation) extract_random_example_array() (in module dltk.io.augmentation)

F

flip() (in module dltk.io.augmentation)

G

get_inputs() (dltk.io.abstract_reader.Reader method)

get_linear_upsampling_kernel() (in module dltk.core.upsample)

I

IteratorInitializerHook (class in dltk.io.abstract_reader)

L

leaky_relu() (in module dltk.core.activations)

linear_upsample_3d() (in module dltk.core.upsample)

N

next() (dltk.utils.SlidingWindow method)

normalise_one_one() (in module dltk.io.preprocessing) normalise_zero_one() (in module dltk.io.preprocessing)

P

prelu() (in module dltk.core.activations)

R

Reader (class in dltk.io.abstract_reader) residual_fcn_3d() (in module dltk.networks.segmentation.fcn)

residual_unet_3d() (in module dltk.networks.segmentation.unet) resize_image_with_crop_or_pad() (in module dltk.io.preprocessing) resnet_3d() (in module dltk.networks.regression_classification.resnet)

S

serving_input_receiver_fn() (dltk.io.abstract_reader.Reader method) simple_super_resolution_3d() (in module dltk.networks.super_resolution.simple_super_resolution)

sliding_window_segmentation_inference() (in module dltk.utils) SlidingWindow (class in dltk.utils) sparse_balanced_crossentropy() (in module dltk.core.losses)

U

upsample_and_concat() (in module dltk.networks.segmentation.unet)

upscore_layer_3d() (in module dltk.networks.segmentation.fcn)

V

vanilla_residual_unit_3d() (in module dltk.core.residual_unit)

W

whitening() (in module dltk.io.preprocessing)