{
  "name": "mama-synth-foreground-stitched-lesion-folds-synthfolds-v1",
  "description": "MAMA-SYNTH 2D pre-to-post contrast breast-MRI synthesis: fold-ensembled translation models composited along breast and tissue-support boundaries, followed by a multiplicative lesion-gain step.",
  "framework": "nnunetv2",
  "code_repository": "nnUNet-Mama-Synth (fork of MIC-DKFZ/nnUNet)",
  "entry_point": "nnUNetv2_predict_mamasynth_translate_foreground_stitched_lesion_folds_synthfolds",
  "configuration": "2d",
  "plans_identifier": "mamaSynthPlans",
  "network_class_name": "dynamic_network_architectures.architectures.unet.ResidualEncoderUNet",
  "patch_size": [512, 512],
  "spacing": [1.0, 1.0],
  "normalization_schemes": ["ZScoreNormalization"],
  "input_channels": {"0": "PRE"},
  "num_networks": 14,
  "parameters_per_network": 106000000,
  "torch_min_version": "2.3.1",
  "slots": {
    "image": {
      "role": "outside-breast translation",
      "trainer": "nnUNetTrainerMamaSynthTranslationLPIPS_BS_48_MAEFinetune_ep_200",
      "source_checkpoint": "checkpoint_best",
      "folds": [0, 1, 2, 3],
      "dataset": "Dataset625_Pre_Seg"
    },
    "lesion_image": {
      "role": "inside-breast translation",
      "trainer": "nnUNetTrainerMamaSynthTranslationLPIPSSSIMDiceTverskyA02B08_LPIPS05_BS_48_MAEFinetune",
      "source_checkpoint": "checkpoint_best_dice",
      "folds": [0, 1, 2, 3],
      "dataset": "Dataset625_Pre_Seg"
    },
    "lesion_seg": {
      "role": "lesion segmentation",
      "trainer": "nnUNetTrainerMamaSynthLesionTverskyA02B08_BS_64_epoch_1000",
      "source_checkpoint": "checkpoint_best",
      "folds": [0, 1, 2, 3],
      "dataset": "Dataset625_Pre_Seg"
    },
    "breast": {
      "role": "breast segmentation",
      "trainer": "nnUNetTrainerMamaSynthBreast_BS_32",
      "source_checkpoint": "checkpoint_final",
      "folds": [0],
      "dataset": "Dataset625_Pre_Seg"
    },
    "foreground": {
      "role": "tissue-support segmentation",
      "trainer": "nnUNetTrainerMamaSynthForeground_BS_32",
      "source_checkpoint": "checkpoint_final",
      "folds": [0],
      "dataset": "Dataset627_foreground"
    }
  },
  "composite": {
    "feather": 4,
    "lesion_feather": 2,
    "lesion_gain": 1.25,
    "lesion_threshold": 0.5,
    "lesion_step": 0.05,
    "air_from": "pre",
    "tta": true,
    "mirror_axes": [0, 1],
    "input_divisor": 64,
    "expects_zscored_input": true
  }
}