|
{ |
|
"dataset_name": "Dataset001_Prostate158", |
|
"plans_name": "nnUNetPlans", |
|
"original_median_spacing_after_transp": [ |
|
3.0, |
|
0.4017857015132904, |
|
0.4017857015132904 |
|
], |
|
"original_median_shape_after_transp": [ |
|
25, |
|
270, |
|
270 |
|
], |
|
"image_reader_writer": "SimpleITKIO", |
|
"transpose_forward": [ |
|
0, |
|
1, |
|
2 |
|
], |
|
"transpose_backward": [ |
|
0, |
|
1, |
|
2 |
|
], |
|
"configurations": { |
|
"2d": { |
|
"data_identifier": "nnUNetPlans_2d", |
|
"preprocessor_name": "DefaultPreprocessor", |
|
"batch_size": 31, |
|
"patch_size": [ |
|
320, |
|
320 |
|
], |
|
"median_image_size_in_voxels": [ |
|
270.0, |
|
270.0 |
|
], |
|
"spacing": [ |
|
0.4017857015132904, |
|
0.4017857015132904 |
|
], |
|
"normalization_schemes": [ |
|
"ZScoreNormalization", |
|
"ZScoreNormalization", |
|
"ZScoreNormalization" |
|
], |
|
"use_mask_for_norm": [ |
|
false, |
|
false, |
|
false |
|
], |
|
"UNet_class_name": "PlainConvUNet", |
|
"UNet_base_num_features": 32, |
|
"n_conv_per_stage_encoder": [ |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2 |
|
], |
|
"n_conv_per_stage_decoder": [ |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2 |
|
], |
|
"num_pool_per_axis": [ |
|
6, |
|
6 |
|
], |
|
"pool_op_kernel_sizes": [ |
|
[ |
|
1, |
|
1 |
|
], |
|
[ |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2 |
|
] |
|
], |
|
"conv_kernel_sizes": [ |
|
[ |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3 |
|
] |
|
], |
|
"unet_max_num_features": 512, |
|
"resampling_fn_data": "resample_data_or_seg_to_shape", |
|
"resampling_fn_seg": "resample_data_or_seg_to_shape", |
|
"resampling_fn_data_kwargs": { |
|
"is_seg": false, |
|
"order": 3, |
|
"order_z": 0, |
|
"force_separate_z": null |
|
}, |
|
"resampling_fn_seg_kwargs": { |
|
"is_seg": true, |
|
"order": 1, |
|
"order_z": 0, |
|
"force_separate_z": null |
|
}, |
|
"resampling_fn_probabilities": "resample_data_or_seg_to_shape", |
|
"resampling_fn_probabilities_kwargs": { |
|
"is_seg": false, |
|
"order": 1, |
|
"order_z": 0, |
|
"force_separate_z": null |
|
}, |
|
"batch_dice": true |
|
}, |
|
"3d_fullres": { |
|
"data_identifier": "nnUNetPlans_3d_fullres", |
|
"preprocessor_name": "DefaultPreprocessor", |
|
"batch_size": 2, |
|
"patch_size": [ |
|
28, |
|
256, |
|
256 |
|
], |
|
"median_image_size_in_voxels": [ |
|
25.0, |
|
270.0, |
|
270.0 |
|
], |
|
"spacing": [ |
|
2.999998998641968, |
|
0.4017857015132904, |
|
0.4017857015132904 |
|
], |
|
"normalization_schemes": [ |
|
"ZScoreNormalization", |
|
"ZScoreNormalization", |
|
"ZScoreNormalization" |
|
], |
|
"use_mask_for_norm": [ |
|
false, |
|
false, |
|
false |
|
], |
|
"UNet_class_name": "PlainConvUNet", |
|
"UNet_base_num_features": 32, |
|
"n_conv_per_stage_encoder": [ |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2 |
|
], |
|
"n_conv_per_stage_decoder": [ |
|
2, |
|
2, |
|
2, |
|
2, |
|
2, |
|
2 |
|
], |
|
"num_pool_per_axis": [ |
|
2, |
|
6, |
|
6 |
|
], |
|
"pool_op_kernel_sizes": [ |
|
[ |
|
1, |
|
1, |
|
1 |
|
], |
|
[ |
|
1, |
|
2, |
|
2 |
|
], |
|
[ |
|
1, |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2, |
|
2 |
|
], |
|
[ |
|
2, |
|
2, |
|
2 |
|
], |
|
[ |
|
1, |
|
2, |
|
2 |
|
], |
|
[ |
|
1, |
|
2, |
|
2 |
|
] |
|
], |
|
"conv_kernel_sizes": [ |
|
[ |
|
1, |
|
3, |
|
3 |
|
], |
|
[ |
|
1, |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3, |
|
3 |
|
], |
|
[ |
|
3, |
|
3, |
|
3 |
|
] |
|
], |
|
"unet_max_num_features": 320, |
|
"resampling_fn_data": "resample_data_or_seg_to_shape", |
|
"resampling_fn_seg": "resample_data_or_seg_to_shape", |
|
"resampling_fn_data_kwargs": { |
|
"is_seg": false, |
|
"order": 3, |
|
"order_z": 0, |
|
"force_separate_z": null |
|
}, |
|
"resampling_fn_seg_kwargs": { |
|
"is_seg": true, |
|
"order": 1, |
|
"order_z": 0, |
|
"force_separate_z": null |
|
}, |
|
"resampling_fn_probabilities": "resample_data_or_seg_to_shape", |
|
"resampling_fn_probabilities_kwargs": { |
|
"is_seg": false, |
|
"order": 1, |
|
"order_z": 0, |
|
"force_separate_z": null |
|
}, |
|
"batch_dice": false |
|
} |
|
}, |
|
"experiment_planner_used": "ExperimentPlanner", |
|
"label_manager": "LabelManager", |
|
"foreground_intensity_properties_per_channel": { |
|
"0": { |
|
"max": 1694.0, |
|
"mean": 267.35308837890625, |
|
"median": 242.0, |
|
"min": 0.0, |
|
"percentile_00_5": 36.0, |
|
"percentile_99_5": 768.0, |
|
"std": 136.11251831054688 |
|
}, |
|
"1": { |
|
"max": 3557.286865234375, |
|
"mean": 1215.81591796875, |
|
"median": 1203.8331298828125, |
|
"min": 0.0, |
|
"percentile_00_5": 0.0, |
|
"percentile_99_5": 2259.82861328125, |
|
"std": 338.6748352050781 |
|
}, |
|
"2": { |
|
"max": 198.95455932617188, |
|
"mean": 72.26309204101562, |
|
"median": 70.3214340209961, |
|
"min": 0.0, |
|
"percentile_00_5": 34.534385681152344, |
|
"percentile_99_5": 132.71939086914062, |
|
"std": 18.909290313720703 |
|
} |
|
} |
|
} |