pymic.loss package

Subpackages

• pymic.loss.cls package
  • Submodules
  • pymic.loss.cls.basic module
    • AbstractClassificationLoss
      • AbstractClassificationLoss.forward()
      • AbstractClassificationLoss.training
    • CrossEntropyLoss
      • CrossEntropyLoss.forward()
      • CrossEntropyLoss.training
    • L1Loss
      • L1Loss.forward()
      • L1Loss.training
    • MSELoss
      • MSELoss.forward()
      • MSELoss.training
    • NLLLoss
      • NLLLoss.forward()
      • NLLLoss.training
    • SigmoidCELoss
      • SigmoidCELoss.forward()
      • SigmoidCELoss.training
  • pymic.loss.cls.util module
    • get_soft_label()
  • Module contents
• pymic.loss.seg package
  • Submodules
  • pymic.loss.seg.abstract module
    • AbstractSegLoss
      • AbstractSegLoss.forward()
      • AbstractSegLoss.training
  • pymic.loss.seg.ce module
    • CrossEntropyLoss
      • CrossEntropyLoss.forward()
      • CrossEntropyLoss.training
    • GeneralizedCELoss
      • GeneralizedCELoss.forward()
      • GeneralizedCELoss.training
  • pymic.loss.seg.combined module
    • CombinedLoss
      • CombinedLoss.forward()
      • CombinedLoss.training
  • pymic.loss.seg.deep_sup module
    • DeepSuperviseLoss
      • DeepSuperviseLoss.forward()
      • DeepSuperviseLoss.training
    • match_prediction_and_gt_shape()
  • pymic.loss.seg.dice module
    • DiceLoss
      • DiceLoss.forward()
      • DiceLoss.training
    • FocalDiceLoss
      • FocalDiceLoss.forward()
      • FocalDiceLoss.training
    • NoiseRobustDiceLoss
      • NoiseRobustDiceLoss.forward()
      • NoiseRobustDiceLoss.training
  • pymic.loss.seg.exp_log module
    • ExpLogLoss
      • ExpLogLoss.forward()
      • ExpLogLoss.training
  • pymic.loss.seg.gatedcrf module
    • GatedCRFLoss
      • GatedCRFLoss.forward()
      • GatedCRFLoss.training
  • pymic.loss.seg.mse module
    • MAELoss
      • MAELoss.forward()
      • MAELoss.training
    • MSELoss
      • MSELoss.forward()
      • MSELoss.training
  • pymic.loss.seg.mumford_shah module
    • MumfordShahLoss
      • MumfordShahLoss.forward()
      • MumfordShahLoss.get_gradient_loss()
      • MumfordShahLoss.get_levelset_loss()
      • MumfordShahLoss.training
  • pymic.loss.seg.slsr module
    • SLSRLoss
      • SLSRLoss.forward()
      • SLSRLoss.training
  • pymic.loss.seg.ssl module
    • EntropyLoss
      • EntropyLoss.forward()
      • EntropyLoss.training
    • TotalVariationLoss
      • TotalVariationLoss.forward()
      • TotalVariationLoss.training
  • pymic.loss.seg.util module
    • get_classwise_dice()
    • get_soft_label()
    • reshape_prediction_and_ground_truth()
    • reshape_tensor_to_2D()
  • Module contents

Submodules

pymic.loss.loss_dict_cls module

Built-in loss functions for classification.

• CrossEntropyLoss pymic.loss.cls.basic.CrossEntropyLoss

• SigmoidCELoss pymic.loss.cls.basic.SigmoidCELoss

• L1Loss pymic.loss.cls.basic.L1Loss

• MSELoss pymic.loss.cls.basic.MSELoss

• NLLLoss pymic.loss.cls.basic.NLLLoss

pymic.loss.loss_dict_seg module

Built-in loss functions for segmentation. The following are for fully supervised learning, or learnig from noisy labels:

• CrossEntropyLoss pymic.loss.seg.ce.CrossEntropyLoss

• GeneralizedCELoss pymic.loss.seg.ce.GeneralizedCELoss

• DiceLoss pymic.loss.seg.dice.DiceLoss

• FocalDiceLoss pymic.loss.seg.dice.FocalDiceLoss

• NoiseRobustDiceLoss pymic.loss.seg.dice.NoiseRobustDiceLoss

• ExpLogLoss pymic.loss.seg.exp_log.ExpLogLoss

• MAELoss pymic.loss.seg.mse.MAELoss

• MSELoss pymic.loss.seg.mse.MSELoss

• SLSRLoss pymic.loss.seg.slsr.SLSRLoss

The following are for semi-supervised or weakly supervised learning:

• EntropyLoss pymic.loss.seg.ssl.EntropyLoss

• GatedCRFLoss: pymic.loss.seg.gatedcrf.GatedCRFLoss

• MumfordShahLoss pymic.loss.seg.mumford_shah.MumfordShahLoss

• TotalVariationLoss pymic.loss.seg.ssl.TotalVariationLoss

Module contents