| { |
| "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 |
| } |
| } |
|
|
