totalsegmentator-mlx / 297 /plans.json
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{
"dataset_name": "Dataset297_TotalSegmentator_total_3mm_1559subj",
"plans_name": "nnUNetPlans",
"original_median_spacing_after_transp": [
3.0,
3.0,
3.0
],
"original_median_shape_after_transp": [
114,
114,
120
],
"image_reader_writer": "NibabelIOWithReorient",
"transpose_forward": [
0,
1,
2
],
"transpose_backward": [
0,
1,
2
],
"configurations": {
"2d": {
"data_identifier": "nnUNetPlans_2d",
"preprocessor_name": "DefaultPreprocessor",
"batch_size": 145,
"patch_size": [
128,
128
],
"median_image_size_in_voxels": [
114.0,
120.0
],
"spacing": [
3.0,
3.0
],
"normalization_schemes": [
"CTNormalization"
],
"use_mask_for_norm": [
false
],
"UNet_class_name": "PlainConvUNet",
"UNet_base_num_features": 32,
"n_conv_per_stage_encoder": [
2,
2,
2,
2,
2,
2
],
"n_conv_per_stage_decoder": [
2,
2,
2,
2,
2
],
"num_pool_per_axis": [
5,
5
],
"pool_op_kernel_sizes": [
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2,
2
],
[
2,
2
],
[
2,
2
],
[
2,
2
],
[
2,
2
]
],
"conv_kernel_sizes": [
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3,
3
],
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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,
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"force_separate_z": null
},
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
"resampling_fn_probabilities_kwargs": {
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"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": [
112,
112,
128
],
"median_image_size_in_voxels": [
114.0,
114.0,
120.0
],
"spacing": [
3.0,
3.0,
3.0
],
"normalization_schemes": [
"CTNormalization"
],
"use_mask_for_norm": [
false
],
"UNet_class_name": "PlainConvUNet",
"UNet_base_num_features": 32,
"n_conv_per_stage_encoder": [
2,
2,
2,
2,
2
],
"n_conv_per_stage_decoder": [
2,
2,
2,
2
],
"num_pool_per_axis": [
4,
4,
4
],
"pool_op_kernel_sizes": [
[
1,
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,
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": {
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"order": 1,
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},
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
"resampling_fn_probabilities_kwargs": {
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"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": 37283.0,
"mean": -50.38697721419439,
"median": 42.0,
"min": -28071.0,
"percentile_00_5": -1004.0,
"percentile_99_5": 1588.0,
"std": 503.39235619144
}
}
}