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D
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E
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I
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P
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W
A
AbstractClassificationLoss (class in pymic.loss.cls.basic)
AbstractSegLoss (class in pymic.loss.seg.abstract)
AbstractTransform (class in pymic.transform.abstract_transform)
accuracy() (in module pymic.util.evaluation_cls)
add_val() (pymic.net_run.noisy_label.nll_dast.Rank method)
ASPPBlock (class in pymic.net.net2d.cople_net)
AttentionGateBlock (class in pymic.net.net2d.unet2d_attention)
AttentionUNet2D (class in pymic.net.net2d.unet2d_attention)
AuxiliaryDecoder (class in pymic.net.net2d.unet2d_cct)
B
bernstein_poly() (in module pymic.transform.intensity)
bezier_curve() (in module pymic.transform.intensity)
binary_assd() (in module pymic.util.evaluation_seg)
binary_dice() (in module pymic.util.evaluation_seg)
binary_evaluation() (in module pymic.util.evaluation_cls)
binary_hd95() (in module pymic.util.evaluation_seg)
binary_iou() (in module pymic.util.evaluation_seg)
binary_relative_volume_error() (in module pymic.util.evaluation_seg)
BiNet (class in pymic.net_run.noisy_label.nll_co_teaching)
(class in pymic.net_run.semi_sup.ssl_cps)
BuiltInNet (class in pymic.net.cls.torch_pretrained_net)
C
CenterCrop (class in pymic.transform.crop)
ChannelSELayer (class in pymic.net.net2d.scse2d)
ChannelSELayer3D (class in pymic.net.net3d.scse3d)
ChannelSpatialSELayer (class in pymic.net.net2d.scse2d)
ChannelSpatialSELayer3D (class in pymic.net.net3d.scse3d)
ChannelToSpace3D (class in pymic.layer.space2channel)
ChannelWiseThreshold (class in pymic.transform.threshold)
ChannelWiseThresholdWithNormalize (class in pymic.transform.threshold)
ClassificationAgent (class in pymic.net_run.agent_cls)
ClassificationDataset (class in pymic.io.nifty_dataset)
CombinedLoss (class in pymic.loss.seg.combined)
ConsistLoss (class in pymic.net_run.noisy_label.nll_dast)
ConvBlock (class in pymic.net.net2d.unet2d)
(class in pymic.net.net3d.unet3d)
ConvBlockND (class in pymic.net.net3d.unet2d5)
ConvBNActBlock (class in pymic.net.net2d.cople_net)
convert_label() (in module pymic.util.image_process)
convert_tensor_type() (pymic.net_run.agent_abstract.NetRunAgent method)
ConvLayer (class in pymic.net.net2d.cople_net)
ConvolutionLayer (class in pymic.layer.convolution)
ConvScSEBlock (class in pymic.net.net2d.unet2d_scse)
ConvScSEBlock3D (class in pymic.net.net3d.unet3d_scse)
COPLENet (class in pymic.net.net2d.cople_net)
create_dataset() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.noisy_label.nll_dast.NLLDAST method)
(pymic.net_run.semi_sup.ssl_abstract.SSLSegAgent method)
create_loss_calculator() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
(pymic.net_run.self_sup.self_sl_agent.SelfSLSegAgent method)
create_network() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
(pymic.net_run.noisy_label.nll_co_teaching.NLLCoTeaching method)
(pymic.net_run.noisy_label.nll_trinet.NLLTriNet method)
(pymic.net_run.semi_sup.ssl_cps.SSLCPS method)
(pymic.net_run.semi_sup.ssl_mt.SSLMeanTeacher method)
(pymic.net_run.weak_sup.wsl_ustm.WSLUSTM method)
create_optimizer() (pymic.net_run.agent_abstract.NetRunAgent method)
crop_and_pad_ND_array_to_desired_shape() (in module pymic.util.image_process)
crop_ND_volume_with_bounding_box() (in module pymic.util.image_process)
CropWithBoundingBox (class in pymic.transform.crop)
CrossEntropyLoss (class in pymic.loss.cls.basic)
(class in pymic.loss.seg.ce)
CSE (pymic.net.net2d.scse2d.SELayer attribute)
(pymic.net.net3d.scse3d.SELayer attribute)
CSSE (pymic.net.net2d.scse2d.SELayer attribute)
(pymic.net.net3d.scse3d.SELayer attribute)
D
Decoder (class in pymic.net.net2d.unet2d)
(class in pymic.net.net3d.unet3d)
DeconvolutionLayer (class in pymic.layer.deconvolution)
DeepSuperviseLoss (class in pymic.loss.seg.deep_sup)
DepthSeperableConvolutionLayer (class in pymic.layer.convolution)
DepthSeperableDeconvolutionLayer (class in pymic.layer.deconvolution)
dice_of_images() (in module pymic.util.evaluation_seg)
DiceLoss (class in pymic.loss.seg.dice)
DownBlock (class in pymic.net.net2d.cople_net)
(class in pymic.net.net2d.unet2d)
(class in pymic.net.net2d.unet2d_scse)
(class in pymic.net.net3d.unet2d5)
(class in pymic.net.net3d.unet3d)
(class in pymic.net.net3d.unet3d_scse)
E
Encoder (class in pymic.net.net2d.unet2d)
(class in pymic.net.net3d.unet3d)
EntropyLoss (class in pymic.loss.seg.ssl)
evaluation() (in module pymic.util.evaluation_seg)
ExpLogLoss (class in pymic.loss.seg.exp_log)
F
feature_based_noise() (pymic.net.net2d.unet2d_cct.AuxiliaryDecoder method)
feature_drop() (pymic.net.net2d.unet2d_cct.AuxiliaryDecoder method)
FocalDiceLoss (class in pymic.loss.seg.dice)
forward() (pymic.layer.convolution.ConvolutionLayer method)
(pymic.layer.convolution.DepthSeperableConvolutionLayer method)
(pymic.layer.deconvolution.DeconvolutionLayer method)
(pymic.layer.deconvolution.DepthSeperableDeconvolutionLayer method)
(pymic.layer.space2channel.ChannelToSpace3D method)
(pymic.layer.space2channel.SpaceToChannel3D method)
(pymic.loss.cls.basic.AbstractClassificationLoss method)
(pymic.loss.cls.basic.CrossEntropyLoss method)
(pymic.loss.cls.basic.L1Loss method)
(pymic.loss.cls.basic.MSELoss method)
(pymic.loss.cls.basic.NLLLoss method)
(pymic.loss.cls.basic.SigmoidCELoss method)
(pymic.loss.seg.abstract.AbstractSegLoss method)
(pymic.loss.seg.ce.CrossEntropyLoss method)
(pymic.loss.seg.ce.GeneralizedCELoss method)
(pymic.loss.seg.combined.CombinedLoss method)
(pymic.loss.seg.deep_sup.DeepSuperviseLoss method)
(pymic.loss.seg.dice.DiceLoss method)
(pymic.loss.seg.dice.FocalDiceLoss method)
(pymic.loss.seg.dice.NoiseRobustDiceLoss method)
(pymic.loss.seg.exp_log.ExpLogLoss method)
(pymic.loss.seg.gatedcrf.GatedCRFLoss method)
(pymic.loss.seg.mse.MAELoss method)
(pymic.loss.seg.mse.MSELoss method)
(pymic.loss.seg.mumford_shah.MumfordShahLoss method)
(pymic.loss.seg.slsr.SLSRLoss method)
(pymic.loss.seg.ssl.EntropyLoss method)
(pymic.loss.seg.ssl.TotalVariationLoss method)
(pymic.net.cls.torch_pretrained_net.BuiltInNet method)
(pymic.net.net2d.cople_net.ASPPBlock method)
(pymic.net.net2d.cople_net.ConvBNActBlock method)
(pymic.net.net2d.cople_net.ConvLayer method)
(pymic.net.net2d.cople_net.COPLENet method)
(pymic.net.net2d.cople_net.DownBlock method)
(pymic.net.net2d.cople_net.SEBlock method)
(pymic.net.net2d.cople_net.UpBlock method)
(pymic.net.net2d.scse2d.ChannelSELayer method)
(pymic.net.net2d.scse2d.ChannelSpatialSELayer method)
(pymic.net.net2d.scse2d.SpatialSELayer method)
(pymic.net.net2d.unet2d.ConvBlock method)
(pymic.net.net2d.unet2d.Decoder method)
(pymic.net.net2d.unet2d.DownBlock method)
(pymic.net.net2d.unet2d.Encoder method)
(pymic.net.net2d.unet2d.UNet2D method)
(pymic.net.net2d.unet2d.UpBlock method)
(pymic.net.net2d.unet2d_attention.AttentionGateBlock method)
(pymic.net.net2d.unet2d_attention.UpBlockWithAttention method)
(pymic.net.net2d.unet2d_cct.AuxiliaryDecoder method)
(pymic.net.net2d.unet2d_cct.UNet2D_CCT method)
(pymic.net.net2d.unet2d_dual_branch.UNet2D_DualBranch method)
(pymic.net.net2d.unet2d_nest.NestedUNet2D method)
(pymic.net.net2d.unet2d_scse.ConvScSEBlock method)
(pymic.net.net2d.unet2d_scse.DownBlock method)
(pymic.net.net2d.unet2d_scse.UNet2D_ScSE method)
(pymic.net.net2d.unet2d_scse.UpBlock method)
(pymic.net.net3d.scse3d.ChannelSELayer3D method)
(pymic.net.net3d.scse3d.ChannelSpatialSELayer3D method)
(pymic.net.net3d.scse3d.SpatialSELayer3D method)
(pymic.net.net3d.unet2d5.ConvBlockND method)
(pymic.net.net3d.unet2d5.DownBlock method)
(pymic.net.net3d.unet2d5.UNet2D5 method)
(pymic.net.net3d.unet2d5.UpBlock method)
(pymic.net.net3d.unet3d.ConvBlock method)
(pymic.net.net3d.unet3d.Decoder method)
(pymic.net.net3d.unet3d.DownBlock method)
(pymic.net.net3d.unet3d.Encoder method)
(pymic.net.net3d.unet3d.UNet3D method)
(pymic.net.net3d.unet3d.UpBlock method)
(pymic.net.net3d.unet3d_scse.ConvScSEBlock3D method)
(pymic.net.net3d.unet3d_scse.DownBlock method)
(pymic.net.net3d.unet3d_scse.UNet3D_ScSE method)
(pymic.net.net3d.unet3d_scse.UpBlock method)
(pymic.net_run.noisy_label.nll_co_teaching.BiNet method)
(pymic.net_run.noisy_label.nll_dast.ConsistLoss method)
(pymic.net_run.noisy_label.nll_trinet.TriNet method)
(pymic.net_run.semi_sup.ssl_cps.BiNet method)
G
GammaCorrection (class in pymic.transform.intensity)
GatedCRFLoss (class in pymic.loss.seg.gatedcrf)
GaussianNoise (class in pymic.transform.intensity)
GeneralizedCELoss (class in pymic.loss.seg.ce)
get_acti_func() (in module pymic.layer.activation)
get_binary_evaluation_score() (in module pymic.util.evaluation_seg)
get_ce() (in module pymic.net_run.noisy_label.nll_dast)
get_checkpoint_name() (pymic.net_run.agent_abstract.NetRunAgent method)
get_classwise_dice() (in module pymic.loss.seg.util)
get_confidence_map() (in module pymic.net_run.noisy_label.nll_clslsr)
get_confident_map() (in module pymic.net_run.noisy_label.nll_clslsr)
get_edge_points() (in module pymic.util.evaluation_seg)
get_euclidean_distance() (in module pymic.util.image_process)
get_evaluation_score() (in module pymic.util.evaluation_cls)
(pymic.net_run.agent_cls.ClassificationAgent method)
get_gradient_loss() (pymic.loss.seg.mumford_shah.MumfordShahLoss method)
get_largest_k_components() (in module pymic.util.image_process)
get_levelset_loss() (pymic.loss.seg.mumford_shah.MumfordShahLoss method)
get_loss_and_confident_mask() (pymic.net_run.noisy_label.nll_trinet.NLLTriNet method)
get_loss_value() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
get_lr_scheduler() (in module pymic.net_run.get_optimizer)
get_multi_class_evaluation_score() (in module pymic.util.evaluation_seg)
get_ND_bounding_box() (in module pymic.util.image_process)
get_noisy_dataset_from_config() (pymic.net_run.noisy_label.nll_dast.NLLDAST method)
get_one_hot_seg() (in module pymic.util.general)
get_optimizer() (in module pymic.net_run.get_optimizer)
get_parameters_to_update() (pymic.net.cls.torch_pretrained_net.BuiltInNet method)
(pymic.net.cls.torch_pretrained_net.MobileNetV2 method)
(pymic.net.cls.torch_pretrained_net.ResNet18 method)
(pymic.net.cls.torch_pretrained_net.VGG16 method)
(pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
get_rampdown_ratio() (in module pymic.util.ramps)
get_rampup_ratio() (in module pymic.util.ramps)
get_soft_label() (in module pymic.loss.cls.util)
(in module pymic.loss.seg.util)
get_stage_dataset_from_config() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
get_transform_list() (in module pymic.util.preprocess)
get_unlabeled_dataset_from_config() (pymic.net_run.semi_sup.ssl_abstract.SSLSegAgent method)
GrayscaleToRGB (class in pymic.transform.intensity)
grouper() (in module pymic.io.h5_dataset)
H
H5DataSet (class in pymic.io.h5_dataset)
I
infer() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
infer_with_cl() (pymic.net_run.noisy_label.nll_clslsr.NLLCLSLSR method)
infer_with_multiple_checkpoints() (pymic.net_run.agent_seg.SegmentationAgent method)
Inferer (class in pymic.net_run.infer_func)
InOutPainting (class in pymic.transform.intensity)
InPainting (class in pymic.transform.intensity)
inverse_transform_for_prediction() (pymic.transform.abstract_transform.AbstractTransform method)
(pymic.transform.crop.CenterCrop method)
(pymic.transform.flip.RandomFlip method)
(pymic.transform.pad.Pad method)
(pymic.transform.rescale.RandomRescale method)
(pymic.transform.rescale.Rescale method)
(pymic.transform.rotate.RandomRotate method)
is_bool() (in module pymic.util.parse_config)
is_float() (in module pymic.util.parse_config)
is_int() (in module pymic.util.parse_config)
is_list() (in module pymic.util.parse_config)
iterate_eternally() (in module pymic.io.h5_dataset)
iterate_once() (in module pymic.io.h5_dataset)
K
keyword_match() (in module pymic.util.general)
kl_div_map() (pymic.net_run.noisy_label.nll_dast.ConsistLoss method)
kl_loss() (pymic.net_run.noisy_label.nll_dast.ConsistLoss method)
L
L1Loss (class in pymic.loss.cls.basic)
LabelConvert (class in pymic.transform.label_convert)
LabelConvertNonzero (class in pymic.transform.label_convert)
LabelToProbability (class in pymic.transform.label_convert)
load_image_as_nd_array() (in module pymic.io.image_read_write)
load_nifty_volume_as_4d_array() (in module pymic.io.image_read_write)
load_rgb_image_as_3d_array() (in module pymic.io.image_read_write)
LocalShuffling (class in pymic.transform.intensity)
logging_config() (in module pymic.util.parse_config)
M
MAELoss (class in pymic.loss.seg.mse)
main() (in module pymic.util.evaluation_cls)
(in module pymic.util.evaluation_seg)
match_prediction_and_gt_shape() (in module pymic.loss.seg.deep_sup)
mixup() (in module pymic.util.general)
MobileNetV2 (class in pymic.net.cls.torch_pretrained_net)
module
pymic
pymic.io
pymic.io.h5_dataset
pymic.io.image_read_write
pymic.io.nifty_dataset
pymic.layer
pymic.layer.activation
pymic.layer.convolution
pymic.layer.deconvolution
pymic.layer.space2channel
pymic.loss
pymic.loss.cls
pymic.loss.cls.basic
pymic.loss.cls.util
pymic.loss.loss_dict_cls
pymic.loss.loss_dict_seg
pymic.loss.seg
pymic.loss.seg.abstract
pymic.loss.seg.ce
pymic.loss.seg.combined
pymic.loss.seg.deep_sup
pymic.loss.seg.dice
pymic.loss.seg.exp_log
pymic.loss.seg.gatedcrf
pymic.loss.seg.mse
pymic.loss.seg.mumford_shah
pymic.loss.seg.slsr
pymic.loss.seg.ssl
pymic.loss.seg.util
pymic.net
pymic.net.cls
pymic.net.cls.torch_pretrained_net
pymic.net.net2d
pymic.net.net2d.cople_net
pymic.net.net2d.scse2d
pymic.net.net2d.unet2d
pymic.net.net2d.unet2d_attention
pymic.net.net2d.unet2d_cct
pymic.net.net2d.unet2d_dual_branch
pymic.net.net2d.unet2d_nest
pymic.net.net2d.unet2d_scse
pymic.net.net3d
pymic.net.net3d.scse3d
pymic.net.net3d.unet2d5
pymic.net.net3d.unet3d
pymic.net.net3d.unet3d_scse
pymic.net.net_dict_cls
pymic.net.net_dict_seg
pymic.net_run
pymic.net_run.agent_abstract
pymic.net_run.agent_cls
pymic.net_run.agent_seg
pymic.net_run.get_optimizer
pymic.net_run.infer_func
pymic.net_run.noisy_label
pymic.net_run.noisy_label.nll_clslsr
pymic.net_run.noisy_label.nll_co_teaching
pymic.net_run.noisy_label.nll_dast
pymic.net_run.noisy_label.nll_trinet
pymic.net_run.self_sup
pymic.net_run.self_sup.self_sl_agent
pymic.net_run.semi_sup
pymic.net_run.semi_sup.ssl_abstract
pymic.net_run.semi_sup.ssl_cct
pymic.net_run.semi_sup.ssl_cps
pymic.net_run.semi_sup.ssl_em
pymic.net_run.semi_sup.ssl_mt
pymic.net_run.semi_sup.ssl_uamt
pymic.net_run.semi_sup.ssl_urpc
pymic.net_run.weak_sup
pymic.net_run.weak_sup.wsl_abstract
pymic.net_run.weak_sup.wsl_dmpls
pymic.net_run.weak_sup.wsl_em
pymic.net_run.weak_sup.wsl_gatedcrf
pymic.net_run.weak_sup.wsl_mumford_shah
pymic.net_run.weak_sup.wsl_tv
pymic.net_run.weak_sup.wsl_ustm
pymic.transform
pymic.transform.abstract_transform
pymic.transform.crop
pymic.transform.flip
pymic.transform.intensity
pymic.transform.label_convert
pymic.transform.normalize
pymic.transform.pad
pymic.transform.rescale
pymic.transform.rotate
pymic.transform.threshold
pymic.transform.trans_dict
pymic.util
pymic.util.evaluation_cls
pymic.util.evaluation_seg
pymic.util.general
pymic.util.image_process
pymic.util.parse_config
pymic.util.post_process
pymic.util.preprocess
pymic.util.ramps
MSELoss (class in pymic.loss.cls.basic)
(class in pymic.loss.seg.mse)
MumfordShahLoss (class in pymic.loss.seg.mumford_shah)
N
NestedUNet2D (class in pymic.net.net2d.unet2d_nest)
NetRunAgent (class in pymic.net_run.agent_abstract)
nexcl_evaluation() (in module pymic.util.evaluation_cls)
NiftyDataset (class in pymic.io.nifty_dataset)
NLLCLSLSR (class in pymic.net_run.noisy_label.nll_clslsr)
NLLCoTeaching (class in pymic.net_run.noisy_label.nll_co_teaching)
NLLDAST (class in pymic.net_run.noisy_label.nll_dast)
NLLLoss (class in pymic.loss.cls.basic)
NLLTriNet (class in pymic.net_run.noisy_label.nll_trinet)
NoiseRobustDiceLoss (class in pymic.loss.seg.dice)
NONE (pymic.net.net2d.scse2d.SELayer attribute)
(pymic.net.net3d.scse3d.SELayer attribute)
NonLinearTransform (class in pymic.transform.intensity)
NormalizeWithMeanStd (class in pymic.transform.normalize)
NormalizeWithMinMax (class in pymic.transform.normalize)
NormalizeWithPercentiles (class in pymic.transform.normalize)
O
OutPainting (class in pymic.transform.intensity)
P
Pad (class in pymic.transform.pad)
parse_bool() (in module pymic.util.parse_config)
parse_config() (in module pymic.util.parse_config)
parse_list() (in module pymic.util.parse_config)
parse_value_from_string() (in module pymic.util.parse_config)
PartialLabelToProbability (class in pymic.transform.label_convert)
PostKeepLargestComponent (class in pymic.util.post_process)
PostProcess (class in pymic.util.post_process)
preprocess_with_transform() (in module pymic.util.preprocess)
pymic
module
pymic.io
module
pymic.io.h5_dataset
module
pymic.io.image_read_write
module
pymic.io.nifty_dataset
module
pymic.layer
module
pymic.layer.activation
module
pymic.layer.convolution
module
pymic.layer.deconvolution
module
pymic.layer.space2channel
module
pymic.loss
module
pymic.loss.cls
module
pymic.loss.cls.basic
module
pymic.loss.cls.util
module
pymic.loss.loss_dict_cls
module
pymic.loss.loss_dict_seg
module
pymic.loss.seg
module
pymic.loss.seg.abstract
module
pymic.loss.seg.ce
module
pymic.loss.seg.combined
module
pymic.loss.seg.deep_sup
module
pymic.loss.seg.dice
module
pymic.loss.seg.exp_log
module
pymic.loss.seg.gatedcrf
module
pymic.loss.seg.mse
module
pymic.loss.seg.mumford_shah
module
pymic.loss.seg.slsr
module
pymic.loss.seg.ssl
module
pymic.loss.seg.util
module
pymic.net
module
pymic.net.cls
module
pymic.net.cls.torch_pretrained_net
module
pymic.net.net2d
module
pymic.net.net2d.cople_net
module
pymic.net.net2d.scse2d
module
pymic.net.net2d.unet2d
module
pymic.net.net2d.unet2d_attention
module
pymic.net.net2d.unet2d_cct
module
pymic.net.net2d.unet2d_dual_branch
module
pymic.net.net2d.unet2d_nest
module
pymic.net.net2d.unet2d_scse
module
pymic.net.net3d
module
pymic.net.net3d.scse3d
module
pymic.net.net3d.unet2d5
module
pymic.net.net3d.unet3d
module
pymic.net.net3d.unet3d_scse
module
pymic.net.net_dict_cls
module
pymic.net.net_dict_seg
module
pymic.net_run
module
pymic.net_run.agent_abstract
module
pymic.net_run.agent_cls
module
pymic.net_run.agent_seg
module
pymic.net_run.get_optimizer
module
pymic.net_run.infer_func
module
pymic.net_run.noisy_label
module
pymic.net_run.noisy_label.nll_clslsr
module
pymic.net_run.noisy_label.nll_co_teaching
module
pymic.net_run.noisy_label.nll_dast
module
pymic.net_run.noisy_label.nll_trinet
module
pymic.net_run.self_sup
module
pymic.net_run.self_sup.self_sl_agent
module
pymic.net_run.semi_sup
module
pymic.net_run.semi_sup.ssl_abstract
module
pymic.net_run.semi_sup.ssl_cct
module
pymic.net_run.semi_sup.ssl_cps
module
pymic.net_run.semi_sup.ssl_em
module
pymic.net_run.semi_sup.ssl_mt
module
pymic.net_run.semi_sup.ssl_uamt
module
pymic.net_run.semi_sup.ssl_urpc
module
pymic.net_run.weak_sup
module
pymic.net_run.weak_sup.wsl_abstract
module
pymic.net_run.weak_sup.wsl_dmpls
module
pymic.net_run.weak_sup.wsl_em
module
pymic.net_run.weak_sup.wsl_gatedcrf
module
pymic.net_run.weak_sup.wsl_mumford_shah
module
pymic.net_run.weak_sup.wsl_tv
module
pymic.net_run.weak_sup.wsl_ustm
module
pymic.transform
module
pymic.transform.abstract_transform
module
pymic.transform.crop
module
pymic.transform.flip
module
pymic.transform.intensity
module
pymic.transform.label_convert
module
pymic.transform.normalize
module
pymic.transform.pad
module
pymic.transform.rescale
module
pymic.transform.rotate
module
pymic.transform.threshold
module
pymic.transform.trans_dict
module
pymic.util
module
pymic.util.evaluation_cls
module
pymic.util.evaluation_seg
module
pymic.util.general
module
pymic.util.image_process
module
pymic.util.parse_config
module
pymic.util.post_process
module
pymic.util.preprocess
module
pymic.util.ramps
module
R
random() (in module pymic.net_run.agent_cls)
(in module pymic.net_run.agent_seg)
(in module pymic.net_run.self_sup.self_sl_agent)
RandomCrop (class in pymic.transform.crop)
RandomFlip (class in pymic.transform.flip)
RandomRescale (class in pymic.transform.rescale)
RandomResizedCrop (class in pymic.transform.crop)
RandomRotate (class in pymic.transform.rotate)
Rank (class in pymic.net_run.noisy_label.nll_dast)
ReduceLabelDim (class in pymic.transform.label_convert)
resample_sitk_image_to_given_spacing() (in module pymic.util.image_process)
Rescale (class in pymic.transform.rescale)
reshape_prediction_and_ground_truth() (in module pymic.loss.seg.util)
reshape_tensor_to_2D() (in module pymic.loss.seg.util)
ResNet18 (class in pymic.net.cls.torch_pretrained_net)
rotate_nifty_volume_to_LPS() (in module pymic.io.image_read_write)
run() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.infer_func.Inferer method)
S
save_array_as_nifty_volume() (in module pymic.io.image_read_write)
save_array_as_rgb_image() (in module pymic.io.image_read_write)
save_nd_array_as_image() (in module pymic.io.image_read_write)
save_outputs() (pymic.net_run.agent_seg.SegmentationAgent method)
SEBlock (class in pymic.net.net2d.cople_net)
seed_torch() (in module pymic.net_run.agent_abstract)
SegmentationAgent (class in pymic.net_run.agent_seg)
SELayer (class in pymic.net.net2d.scse2d)
(class in pymic.net.net3d.scse3d)
select_criterion() (in module pymic.net_run.noisy_label.nll_dast)
SelfSLSegAgent (class in pymic.net_run.self_sup.self_sl_agent)
sensitivity() (in module pymic.util.evaluation_cls)
set_datasets() (pymic.net_run.agent_abstract.NetRunAgent method)
set_inferer() (pymic.net_run.agent_abstract.NetRunAgent method)
set_loss_dict() (pymic.net_run.agent_abstract.NetRunAgent method)
set_ND_volume_roi_with_bounding_box_range() (in module pymic.util.image_process)
set_net_dict() (pymic.net_run.agent_abstract.NetRunAgent method)
set_network() (pymic.net_run.agent_abstract.NetRunAgent method)
set_optimizer() (pymic.net_run.agent_abstract.NetRunAgent method)
set_postprocessor() (pymic.net_run.agent_seg.SegmentationAgent method)
set_scheduler() (pymic.net_run.agent_abstract.NetRunAgent method)
set_transform_dict() (pymic.net_run.agent_abstract.NetRunAgent method)
SigmoidCELoss (class in pymic.loss.cls.basic)
SLSRLoss (class in pymic.loss.seg.slsr)
softmax_js_loss() (in module pymic.net_run.semi_sup.ssl_cct)
softmax_kl_loss() (in module pymic.net_run.semi_sup.ssl_cct)
softmax_mse_loss() (in module pymic.net_run.semi_sup.ssl_cct)
SpaceToChannel3D (class in pymic.layer.space2channel)
SpatialSELayer (class in pymic.net.net2d.scse2d)
SpatialSELayer3D (class in pymic.net.net3d.scse3d)
specificity() (in module pymic.util.evaluation_cls)
SSE (pymic.net.net2d.scse2d.SELayer attribute)
(pymic.net.net3d.scse3d.SELayer attribute)
SSLCCT (class in pymic.net_run.semi_sup.ssl_cct)
SSLCPS (class in pymic.net_run.semi_sup.ssl_cps)
SSLEntropyMinimization (class in pymic.net_run.semi_sup.ssl_em)
SSLMeanTeacher (class in pymic.net_run.semi_sup.ssl_mt)
SSLSegAgent (class in pymic.net_run.semi_sup.ssl_abstract)
SSLUncertaintyAwareMeanTeacher (class in pymic.net_run.semi_sup.ssl_uamt)
SSLURPC (class in pymic.net_run.semi_sup.ssl_urpc)
synchronize_config() (in module pymic.util.parse_config)
T
tensor_shape_match() (in module pymic.util.general)
TotalVariationLoss (class in pymic.loss.seg.ssl)
train_valid() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
(pymic.net_run.noisy_label.nll_dast.NLLDAST method)
(pymic.net_run.self_sup.self_sl_agent.SelfSLSegAgent method)
(pymic.net_run.semi_sup.ssl_abstract.SSLSegAgent method)
training (pymic.layer.convolution.ConvolutionLayer attribute)
(pymic.layer.convolution.DepthSeperableConvolutionLayer attribute)
(pymic.layer.deconvolution.DeconvolutionLayer attribute)
(pymic.layer.deconvolution.DepthSeperableDeconvolutionLayer attribute)
(pymic.layer.space2channel.ChannelToSpace3D attribute)
(pymic.layer.space2channel.SpaceToChannel3D attribute)
(pymic.loss.cls.basic.AbstractClassificationLoss attribute)
(pymic.loss.cls.basic.CrossEntropyLoss attribute)
(pymic.loss.cls.basic.L1Loss attribute)
(pymic.loss.cls.basic.MSELoss attribute)
(pymic.loss.cls.basic.NLLLoss attribute)
(pymic.loss.cls.basic.SigmoidCELoss attribute)
(pymic.loss.seg.abstract.AbstractSegLoss attribute)
(pymic.loss.seg.ce.CrossEntropyLoss attribute)
(pymic.loss.seg.ce.GeneralizedCELoss attribute)
(pymic.loss.seg.combined.CombinedLoss attribute)
(pymic.loss.seg.deep_sup.DeepSuperviseLoss attribute)
(pymic.loss.seg.dice.DiceLoss attribute)
(pymic.loss.seg.dice.FocalDiceLoss attribute)
(pymic.loss.seg.dice.NoiseRobustDiceLoss attribute)
(pymic.loss.seg.exp_log.ExpLogLoss attribute)
(pymic.loss.seg.gatedcrf.GatedCRFLoss attribute)
(pymic.loss.seg.mse.MAELoss attribute)
(pymic.loss.seg.mse.MSELoss attribute)
(pymic.loss.seg.mumford_shah.MumfordShahLoss attribute)
(pymic.loss.seg.slsr.SLSRLoss attribute)
(pymic.loss.seg.ssl.EntropyLoss attribute)
(pymic.loss.seg.ssl.TotalVariationLoss attribute)
(pymic.net.cls.torch_pretrained_net.BuiltInNet attribute)
(pymic.net.cls.torch_pretrained_net.MobileNetV2 attribute)
(pymic.net.cls.torch_pretrained_net.ResNet18 attribute)
(pymic.net.cls.torch_pretrained_net.VGG16 attribute)
(pymic.net.net2d.cople_net.ASPPBlock attribute)
(pymic.net.net2d.cople_net.ConvBNActBlock attribute)
(pymic.net.net2d.cople_net.ConvLayer attribute)
(pymic.net.net2d.cople_net.COPLENet attribute)
(pymic.net.net2d.cople_net.DownBlock attribute)
(pymic.net.net2d.cople_net.SEBlock attribute)
(pymic.net.net2d.cople_net.UpBlock attribute)
(pymic.net.net2d.scse2d.ChannelSELayer attribute)
(pymic.net.net2d.scse2d.ChannelSpatialSELayer attribute)
(pymic.net.net2d.scse2d.SpatialSELayer attribute)
(pymic.net.net2d.unet2d.ConvBlock attribute)
(pymic.net.net2d.unet2d.Decoder attribute)
(pymic.net.net2d.unet2d.DownBlock attribute)
(pymic.net.net2d.unet2d.Encoder attribute)
(pymic.net.net2d.unet2d.UNet2D attribute)
(pymic.net.net2d.unet2d.UpBlock attribute)
(pymic.net.net2d.unet2d_attention.AttentionGateBlock attribute)
(pymic.net.net2d.unet2d_attention.AttentionUNet2D attribute)
(pymic.net.net2d.unet2d_attention.UpBlockWithAttention attribute)
(pymic.net.net2d.unet2d_cct.AuxiliaryDecoder attribute)
(pymic.net.net2d.unet2d_cct.UNet2D_CCT attribute)
(pymic.net.net2d.unet2d_dual_branch.UNet2D_DualBranch attribute)
(pymic.net.net2d.unet2d_nest.NestedUNet2D attribute)
(pymic.net.net2d.unet2d_scse.ConvScSEBlock attribute)
(pymic.net.net2d.unet2d_scse.DownBlock attribute)
(pymic.net.net2d.unet2d_scse.UNet2D_ScSE attribute)
(pymic.net.net2d.unet2d_scse.UpBlock attribute)
(pymic.net.net3d.scse3d.ChannelSELayer3D attribute)
(pymic.net.net3d.scse3d.ChannelSpatialSELayer3D attribute)
(pymic.net.net3d.scse3d.SpatialSELayer3D attribute)
(pymic.net.net3d.unet2d5.ConvBlockND attribute)
(pymic.net.net3d.unet2d5.DownBlock attribute)
(pymic.net.net3d.unet2d5.UNet2D5 attribute)
(pymic.net.net3d.unet2d5.UpBlock attribute)
(pymic.net.net3d.unet3d.ConvBlock attribute)
(pymic.net.net3d.unet3d.Decoder attribute)
(pymic.net.net3d.unet3d.DownBlock attribute)
(pymic.net.net3d.unet3d.Encoder attribute)
(pymic.net.net3d.unet3d.UNet3D attribute)
(pymic.net.net3d.unet3d.UpBlock attribute)
(pymic.net.net3d.unet3d_scse.ConvScSEBlock3D attribute)
(pymic.net.net3d.unet3d_scse.DownBlock attribute)
(pymic.net.net3d.unet3d_scse.UNet3D_ScSE attribute)
(pymic.net.net3d.unet3d_scse.UpBlock attribute)
(pymic.net_run.noisy_label.nll_co_teaching.BiNet attribute)
(pymic.net_run.noisy_label.nll_dast.ConsistLoss attribute)
(pymic.net_run.noisy_label.nll_trinet.TriNet attribute)
(pymic.net_run.semi_sup.ssl_cps.BiNet attribute)
training() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
(pymic.net_run.noisy_label.nll_co_teaching.NLLCoTeaching method)
(pymic.net_run.noisy_label.nll_dast.NLLDAST method)
(pymic.net_run.noisy_label.nll_trinet.NLLTriNet method)
(pymic.net_run.self_sup.self_sl_agent.SelfSLSegAgent method)
(pymic.net_run.semi_sup.ssl_cct.SSLCCT method)
(pymic.net_run.semi_sup.ssl_cps.SSLCPS method)
(pymic.net_run.semi_sup.ssl_em.SSLEntropyMinimization method)
(pymic.net_run.semi_sup.ssl_mt.SSLMeanTeacher method)
(pymic.net_run.semi_sup.ssl_uamt.SSLUncertaintyAwareMeanTeacher method)
(pymic.net_run.semi_sup.ssl_urpc.SSLURPC method)
(pymic.net_run.weak_sup.wsl_dmpls.WSLDMPLS method)
(pymic.net_run.weak_sup.wsl_em.WSLEntropyMinimization method)
(pymic.net_run.weak_sup.wsl_gatedcrf.WSLGatedCRF method)
(pymic.net_run.weak_sup.wsl_mumford_shah.WSLMumfordShah method)
(pymic.net_run.weak_sup.wsl_tv.WSLTotalVariation method)
(pymic.net_run.weak_sup.wsl_ustm.WSLUSTM method)
TriNet (class in pymic.net_run.noisy_label.nll_trinet)
TwoStreamBatchSampler (class in pymic.io.h5_dataset)
U
UNet2D (class in pymic.net.net2d.unet2d)
UNet2D5 (class in pymic.net.net3d.unet2d5)
UNet2D_CCT (class in pymic.net.net2d.unet2d_cct)
UNet2D_DualBranch (class in pymic.net.net2d.unet2d_dual_branch)
UNet2D_ScSE (class in pymic.net.net2d.unet2d_scse)
UNet3D (class in pymic.net.net3d.unet3d)
UNet3D_ScSE (class in pymic.net.net3d.unet3d_scse)
UpBlock (class in pymic.net.net2d.cople_net)
(class in pymic.net.net2d.unet2d)
(class in pymic.net.net2d.unet2d_scse)
(class in pymic.net.net3d.unet2d5)
(class in pymic.net.net3d.unet3d)
(class in pymic.net.net3d.unet3d_scse)
UpBlockWithAttention (class in pymic.net.net2d.unet2d_attention)
V
validation() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
(pymic.net_run.self_sup.self_sl_agent.SelfSLSegAgent method)
VGG16 (class in pymic.net.cls.torch_pretrained_net)
W
write_scalars() (pymic.net_run.agent_abstract.NetRunAgent method)
(pymic.net_run.agent_cls.ClassificationAgent method)
(pymic.net_run.agent_seg.SegmentationAgent method)
(pymic.net_run.noisy_label.nll_co_teaching.NLLCoTeaching method)
(pymic.net_run.noisy_label.nll_trinet.NLLTriNet method)
(pymic.net_run.self_sup.self_sl_agent.SelfSLSegAgent method)
(pymic.net_run.semi_sup.ssl_abstract.SSLSegAgent method)
(pymic.net_run.semi_sup.ssl_cps.SSLCPS method)
(pymic.net_run.weak_sup.wsl_abstract.WSLSegAgent method)
WSLDMPLS (class in pymic.net_run.weak_sup.wsl_dmpls)
WSLEntropyMinimization (class in pymic.net_run.weak_sup.wsl_em)
WSLGatedCRF (class in pymic.net_run.weak_sup.wsl_gatedcrf)
WSLMumfordShah (class in pymic.net_run.weak_sup.wsl_mumford_shah)
WSLSegAgent (class in pymic.net_run.weak_sup.wsl_abstract)
WSLTotalVariation (class in pymic.net_run.weak_sup.wsl_tv)
WSLUSTM (class in pymic.net_run.weak_sup.wsl_ustm)
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