{ "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 } } }