{
  "architecture": "segresnet",
  "implementation": "monai.networks.nets.SegResNet",
  "spatial_dims": 3,
  "in_channels": 1,
  "out_channels": 3,
  "model_kwargs": {
    "init_filters": 16,
    "dropout_prob": 0.1
  },
  "state_dict_note": "MONAI networks were wrapped, so keys carry a 'network.' prefix; strip it to load into the bare MONAI class.",
  "output_channels": [
    "foreground",
    "seeds",
    "boundary"
  ],
  "output_activation": "logits (apply sigmoid)",
  "condition": "real_plus_synth",
  "condition_label": "Real + synthetic volumes",
  "seed": 42,
  "train_volumes": [
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    "real_255",
    "real_257",
    "real_259",
    "real_261",
    "synthetic_901",
    "synthetic_902",
    "synthetic_903",
    "synthetic_904",
    "synthetic_908"
  ],
  "validation_volume": "real_263",
  "selected_step": 7000,
  "selection": "best validation panoptic quality on real_263",
  "best_val_pq": 0.6671375694510983,
  "parameter_count": 4700931,
  "input_normalization": {
    "method": "x = clip((v - lo) / (hi - lo), 0, 1)",
    "lo": 302.0,
    "hi": 1921.0
  },
  "voxel_spacing_km": 0.5,
  "patch_size_dhw": [
    32,
    160,
    160
  ],
  "sliding_window": {
    "roi_size": [
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      160,
      160
    ],
    "overlap": 0.5,
    "mode": "gaussian",
    "blend": "logits, then sigmoid"
  },
  "postprocessing": "foreground/seed thresholding + marker-controlled watershed",
  "global_operating_point": {
    "foreground_threshold": 0.4,
    "seed_threshold": 0.7,
    "boundary_threshold": 0.5,
    "min_seed_size": 3,
    "min_instance_size": 6,
    "foreground_closing_iterations": 1,
    "seed_opening_iterations": 0
  },
  "calibrated_operating_point": {
    "foreground_threshold": 0.3,
    "seed_threshold": 0.5,
    "boundary_threshold": 0.5,
    "min_seed_size": 5,
    "min_instance_size": 12,
    "foreground_closing_iterations": 1,
    "seed_opening_iterations": 0
  },
  "source_checkpoint_sha256": "f4de3018fee16e5a88e73b7d3d8593fed94c9d3aed168eed03f2da0a5cf1bdcf"
}