PythonNiftyNet面向医学图像分析和图像引导治疗的开源CNN平台

u735696828 13 0 ZIP 2020-06-14 02:06:02

NiftyNet是一个基于TensorFlow的开源卷积神经网络（CNN）平台，用于研究医学图像分析和图像引导治疗。NiftyNet的模块化结构设计用于共享网络和预先训练的模型。

文件列表

Python-NiftyNet面向医学图像分析和图像引导治疗的开源CNN平台 (预估有个422文件)

requirements-gpu.txt 128B

label.png 28KB

original.png 27KB

ave_prob.png 30KB

__init__.py 0B

README.md 2KB

rename_crop_BRATS.py 8KB

1037.png 178KB

464.png 178KB

interpolation.gif 252KB

vae_config.ini 1KB

README.md 4KB

README.md 3KB

model.py 9KB

loss.py 677B

__init__.py 0B

dataset_niftynet.py 776B

segmentation.py 10KB

crf_as_rnn_inference_demo.ipynb 158KB

tensorboard_scaled.png 58KB

unet_histology_training.md 12KB

config.ini 1KB

data_in_itksnap_scaled.png 448KB

ImageReader.ipynb 15KB

visualise_coordinates.py 3KB

mapping.txt 44B

ImageSampler.ipynb 199KB

README.md 392B

ParallelCSVReaderDemo.ipynb 35KB

README.md 153B

README.md 273B

promise12_demo_inference_config.ini 1KB

promise12_balanced_train_config.ini 2KB

promise12_demo_train_config.ini 2KB

README.md 552B

PROMISE12_Demo_Notebook.ipynb 8KB

generate_run_commands.py 3KB

U373.ini 2KB

file_sorter.py 2KB

make_cell_weights.py 2KB

unet_demo_utils.py 4KB

U-Net_Demo.ipynb 1.34MB

README.md 415B

HeLa.ini 1KB

screenshot.png 1.26MB

README.md 852B

.gitattributes 54B

PULL_REQUEST_TEMPLATE.md 754B

niftynet-issue-template.md 853B

net_regress.py 133B

net_gan.py 133B

utils.sh 271B

bundlewheel.sh 258B

findwheel.sh 107B

net_classify.py 133B

requirements-cpu.txt 124B

Pull_request.md 752B

Bug.md 79B

introductory.md 424B

globaltoc.html 159B

badge.html 326B

layout.html 874B

model_zoo.md 4KB

contributing.md 15KB

window_sizes.rst 7KB

conf.py 8KB

installation.rst 1KB

versioneer.rst 121B

transfer_learning.md 5KB

index.rst 8KB

extending_event_handler.md 4KB

config_spec.md 33KB

extending_app.md 487B

list_modules.rst 219B

extending_net.md 4KB

filename_matching.md 3KB

uniform_pad_50_12.png 29KB

uniform.png 35KB

custom.css 311B

image_pad_50.png 27KB

uniform_pad_50.png 29KB

3d_sampling.jpg 18KB

grid_overlay.png 60KB

grid_pad_50.png 27KB

.gitkeep 0B

grid_pad_50_12.png 31KB

grid_cropped_50_12.png 27KB

image.png 32KB

grid.png 32KB

make.bat 816B

requirements.txt 206B

Makefile 609B

versioneer.py 67KB

CONTRIBUTING.md 16KB

run_test.sh 978B

deepmedic_config.ini 2KB

highres3dnet_config.ini 2KB

holisticnet_config.ini 2KB

default_eval_config.ini 785B

default_monomodal_regression_eval.ini 1KB

default_multimodal_segmentation_eval.ini 2KB

densevnet_config.ini 1KB

scalenet_config.ini 2KB

unet_config.ini 1KB

vae_config.ini 1KB

label_driven_registration.ini 2KB

default_segmentation.ini 2KB

default_segmentation_bf.ini 2KB

README.md 319B

default_monomodal_regression.ini 1KB

vnet_config.ini 2KB

GAN_demo_train_config.ini 1KB

weighted_sample_regression.ini 1KB

default_multimodal_segmentation.ini 2KB

niftynet_launch_config.py 260B

download.py 17KB

util_common.py 15KB

filename_matching.py 8KB

niftynet_global_config.py 6KB

decorators.py 716B

__init__.py 146B

restore_initializer.py 4KB

util_csv.py 9KB

user_parameters_parser.py 13KB

histogram_standardisation.py 11KB

util_import.py 2KB

user_parameters_default.py 18KB

user_parameters_regex.py 2KB

versioneer_version.py 18KB

versioning.py 2KB

user_parameters_custom.py 8KB

user_parameters_helper.py 5KB

ultrasound_simulator_gan.py 11KB

__init__.py 0B

README.md 1KB

preprocessing.py 3KB

__init__.py 0B

sampler_pairwise_uniform.py 9KB

__init__.py 0B

sampler_pairwise_resize.py 8KB

regression_evaluations.py 0B

__init__.py 0B

classification_evaluations.py 4KB

segmentation_evaluations.py 3KB

__init__.py 89B

ss_app.py 14KB

__init__.py 0B

README.md 1KB

selective_seg.ini 2KB

sampler_selective.py 17KB

test_sampler_selective.py 12KB

__init__.py 0B

isample_regression.py 5KB

__init__.py 0B

README.md 926B

__init__.py 0B

rename_checkpoint_to_partial.py 2KB

csv_reader.py 2KB

sampler_resize_v2_csv.py 5KB

__init__.py 0B

sampler_csv_rows.py 4KB

decay_lr_application.py 4KB

__init__.py 0B

README.md 1KB

segmentation_application_bfaug.py 6KB

__init__.py 0B

region_properties.py 25KB

base_evaluations.py 3KB

evaluation_application_driver.py 5KB

regression_evaluations.py 2KB

__init__.py 96B

classification_evaluator.py 596B

base_evaluator.py 8KB

classification_evaluations.py 1KB

pairwise_measures.py 18KB

segmentation_evaluator.py 710B

regression_evaluator.py 563B

segmentation_evaluations.py 18KB

__init__.py 5KB

image_type.py 24KB

misc_io.py 27KB

image_sets_partitioner.py 21KB

__init__.py 86B

image_reader.py 19KB

image_loader.py 9KB

resampler.py 20KB

rand_bias_field.py 5KB

convolution.py 8KB

crf.py 19KB

upsample_res_block.py 3KB

softsign_eq.pdf 26KB

relu_eq.pdf 21KB

softsign_img.png 14KB

prelu_eq.pdf 39KB

elu_eq.pdf 47KB

sigmoid_img.png 13KB

tanh_eq.pdf 50KB

sigmoid_eq.pdf 34KB

relu_img.png 16KB

elu_img.png 16KB

tanh_img.png 14KB

softplus_img.png 16KB

softplus_eq.pdf 28KB

prelu_img.png 17KB

histogram_normalisation.py 6KB

fully_connected.py 6KB

loss_gan.py 2KB

post_processing.py 1KB

rand_rotation.py 6KB

rand_flip.py 2KB

affine_augmentation.py 5KB

additive_upsample.py 4KB

spatial_transformer.py 11KB

loss_regression.py 7KB

base_layer.py 5KB

upsample.py 4KB

rand_spatial_scaling.py 4KB

spatial_gradient.py 3KB

deconvolution.py 9KB

approximated_smoothing.py 3KB

crop.py 1024B

activation.py 2KB

channel_sparse_convolution.py 17KB

mean_variance_normalisation.py 2KB

loss_autoencoder.py 3KB

downsample.py 2KB

__init__.py 94B

layer_util.py 4KB

loss_classification.py 3KB

grid_warper.py 24KB

squeeze_excitation.py 4KB

bn.py 5KB

README.md 8KB

pad.py 3KB

loss_segmentation.py 25KB

discrete_label_normalisation.py 7KB

gn.py 2KB

residual_unit.py 4KB

rand_elastic_deform.py 6KB

binary_masking.py 4KB

gan_blocks.py 2KB

downsample_res_block.py 2KB

dilatedcontext.py 2KB

linear_resize.py 3KB

elementwise.py 3KB

image_window_dataset.py 14KB

handler_sampler.py 2KB

application_iteration.py 9KB

windows_aggregator_identity.py 4KB

sampler_random_vector_v2.py 3KB

handler_model.py 7KB

signal.py 2KB

handler_network_output.py 2KB

windows_aggregator_classifier.py 3KB

handler_console.py 1KB

application_factory.py 14KB

__init__.py 97B

sampler_linear_interpolate_v2.py 3KB

windows_aggregator_grid.py 4KB

application_initializer.py 5KB

application_optimiser.py 3KB

README.md 844B

application_driver.py 15KB

handler_gradient.py 4KB

handler_tensorboard.py 3KB

application_variables.py 10KB

sampler_uniform_v2.py 10KB

image_window.py 15KB

sampler_weighted_v2.py 6KB

windows_aggregator_resize.py 4KB

sampler_resize_v2.py 5KB

sampler_balanced_v2.py 5KB

sampler_grid_v2.py 9KB

windows_aggregator_base.py 6KB

simple_gan.py 8KB

se_resnet.py 6KB

highres3dnet_small.py 6KB

scalenet.py 5KB

interventional_dense_net.py 10KB

vae.py 24KB

__init__.py 90B

highres3dnet_large.py 6KB

toynet.py 2KB

unet.py 8KB

simulator_gan.py 10KB

unet_2d.py 5KB

highres3dnet.py 10KB

base_net.py 801B

README.md 3KB

vnet.py 9KB

holistic_net.py 11KB

deepmedic.py 5KB

resnet.py 6KB

interventional_hybrid_net.py 4KB

dense_vnet.py 19KB

interventional_affine_net.py 5KB

segmentation_application.py 19KB

label_driven_registration.py 12KB

__init__.py 100B

regression_application.py 16KB

gan_application.py 12KB

autoencoder_application.py 13KB

base_application.py 8KB

classification_application.py 16KB

LICENSE 11KB

net_autoencoder.py 133B

setup.cfg 134B

setup.py 2KB

README.md 6KB

net_run.py 133B

net_segment.py 133B

.gitignore 68B

.gitignore 71B

setup.py 640B

versioning_test.py 550B

handler_console_test.py 1KB

dense_vnet_test.py 1KB

rand_bias_field_test.py 3KB

interventional_affine_net_test.py 1KB

vnetblock_test.py 6KB

restorer_test.py 4KB

pad_test.py 4KB

sampler_resize_v2_test.py 4KB

rand_elastic_deformation_test.py 4KB

windows_aggregator_resize_v2_test.py 9KB

elementwise_test.py 3KB

pylintrc 14KB

upsample_test.py 4KB

niftynet_global_config_test.py 7KB

resampler_test.py 20KB

sampler_random_vector_v2_test.py 2KB

unet_test.py 2KB

grid_warper_test.py 8KB

image_sets_partitioner_test.py 5KB

approximated_smoothing_test.py 2KB

interventional_dense_net_test.py 2KB

rand_flip_test.py 3KB

rand_rotation_test.py 1KB

downsample_res_block_test.py 2KB

dilatedcontext_test.py 1KB

spatial_transformer_test.py 3KB

util_import_test.py 1KB

scalenet_test.py 2KB

residual_upsample_test.py 3KB

handler_network_output_test.py 2KB

upsample_res_block_test.py 4KB

sampler_uniform_v2_test.py 9KB

binary_masking_test.py 2KB

image_window_test.py 11KB

highresblock_test.py 5KB

resampler_batch_test.py 12KB

deepmedic_test.py 2KB

user_parameters_default_test.py 979B

unetblock_test.py 4KB

sampler_linear_interpolate_v2_test.py 2KB

additive_upsample_test.py 4KB

unet_2d_test.py 2KB

application_factory_test.py 550B

evaluation_test.py 19KB

holistic_net_test.py 2KB

sampler_weighted_v2_test.py 8KB

__init__.py 0B

highres3dnet_test.py 3KB

image_loader_test.py 2KB

gradient_collector_test.py 7KB

run_vars_test.py 4KB

download_test.py 2KB

user_parameters_regex_test.py 2KB

convolution_test.py 16KB

loss_classification_test.py 2KB

resampler_grid_warper_test.py 13KB

spatial_gradient_test.py 4KB

bn_test.py 4KB

squeeze_excitation_test.py 7KB

test_model_zoo.py 9KB

downsample_test.py 3KB

activation_test.py 5KB

loss_regression_test.py 8KB

README.md 141B

fully_connected_test.py 11KB

interventional_hybrid_net_test.py 2KB

deconvolution_test.py 19KB

entry_point_test.py 2KB

toynet_test.py 1005B

windows_aggregator_grid_v2_test.py 9KB

crop_test.py 2KB

get_gpu_index.py 555B

simple_gan_test.py 1KB

toy_application.py 8KB

loss_segmentation_test.py 23KB

channel_sparse_convolution_test.py 4KB

rand_spatial_scaling_test.py 1KB

mean_variance_normalisation_test.py 2KB

filename_matching_test.py 3KB

image_reader_test.py 15KB

image_type_test.py 9KB

segmentation_evaluator_test.py 2KB

sampler_grid_v2_test.py 12KB

reader_modular_test.py 21KB

driver_partitioner_test.py 11KB

scaleblock_test.py 4KB

output_collector_test.py 8KB

affine_augmentation_test.py 2KB

image_window_dataset_generator_test.py 9KB

residual_unit_test.py 2KB

post_processing_test.py 2KB

linear_resize_test.py 3KB

application_driver_test.py 16KB

classification_evaluator_test.py 2KB

sampler_balanced_v2_test.py 9KB

vnet_test.py 3KB

image_window_dataset_test.py 8KB

histogram_normalisation_test.py 4KB

gn_test.py 3KB

crf_test.py 5KB

.readthedocs.yml 93B

CODE_OF_CONDUCT.md 3KB

.gitignore 369B

net_download.py 153B

.gitlab-ci.yml 28KB

CHANGELOG.md 5KB

niftynet-logo.png 215KB

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