diff --git a/nnUNet_results/Dataset001_Prostate158/inference_information.json b/nnUNet_results/Dataset001_Prostate158/inference_information.json new file mode 100644 index 0000000000000000000000000000000000000000..9ceea7a7ed9bd0240f0e871c87f7d2fe1eab3f5f --- /dev/null +++ b/nnUNet_results/Dataset001_Prostate158/inference_information.json @@ -0,0 +1,30 @@ +{ + "all_results": { + "nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres": 0.7910807565880633 + }, + "best_model_or_ensemble": { + "postprocessing_file": "nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/crossval_results_folds_0/postprocessing.pkl", + "result_on_crossval_post_pp": 0.7910858878327467, + "result_on_crossval_pre_pp": 0.7910807565880633, + "selected_model_or_models": [ + { + "configuration": "3d_fullres", + "plans_identifier": "nnUNetPlans", + "trainer": "nnUNetTrainer_20epochs" + } + ], + "some_plans_file": "nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/crossval_results_folds_0/plans.json" + }, + "considered_models": [ + { + "configuration": "3d_fullres", + "plans": "nnUNetPlans", + "trainer": "nnUNetTrainer_20epochs" + } + ], + "dataset_name_or_id": "Dataset001_Prostate158", + "ensembling_allowed": false, + "folds": [ + 0 + ] +} \ No newline at end of file diff --git a/nnUNet_results/Dataset001_Prostate158/inference_instructions.txt b/nnUNet_results/Dataset001_Prostate158/inference_instructions.txt new file mode 100644 index 0000000000000000000000000000000000000000..d716048582c09f4cb30275e0eef7b11194a9175d --- /dev/null +++ b/nnUNet_results/Dataset001_Prostate158/inference_instructions.txt @@ -0,0 +1,7 @@ +***Run inference like this:*** + +nnUNetv2_predict -d Dataset001_Prostate158 -i INPUT_FOLDER -o OUTPUT_FOLDER -f 0 -tr nnUNetTrainer_20epochs -c 3d_fullres -p nnUNetPlans + +***Once inference is completed, run postprocessing like this:*** + 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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': 32, 'patch_size': [320, 320], 'median_image_size_in_voxels': [270.0, 270.0], 'spacing': [0.4017857015132904, 0.4017857015132904], 'normalization_schemes': ['ZScoreNormalization'], '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, 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': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, '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'], '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, 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': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'batch_dice': False}}, 'experiment_planner_used': 'ExperimentPlanner', 'label_manager': 'LabelManager', 'foreground_intensity_properties_per_channel': {'0': {'max': 1694.0, 'mean': 267.5592956542969, 'median': 242.0, 'min': 0.0, 'percentile_00_5': 37.0, 'percentile_99_5': 768.0, 'std': 136.02105712890625}}}", + "preprocessed_dataset_folder": "nnUNet_preprocessed/Dataset001_Prostate158/nnUNetPlans_3d_fullres", + "preprocessed_dataset_folder_base": "nnUNet_preprocessed/Dataset001_Prostate158", + "save_every": "50", + "torch_version": "2.0.0", + "unpack_dataset": "True", + "was_initialized": "True", + "weight_decay": "3e-05" +} \ No newline at end of file diff --git a/nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/fold_0/progress.png b/nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/fold_0/progress.png new file mode 100644 index 0000000000000000000000000000000000000000..9249c6fcebb93f42dcedb7aaa6cff179894e3eeb --- /dev/null +++ b/nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/fold_0/progress.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce35137ed45bb01a22dc5f338ad74161e60fab49e16992f686e48e5661075395 +size 488652 diff --git a/nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/fold_0/training_log_2023_8_9_12_37_51.txt b/nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/fold_0/training_log_2023_8_9_12_37_51.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8f07a81e9fc50ee399c52ebaf02fef9635c70fb --- /dev/null +++ b/nnUNet_results/Dataset001_Prostate158/nnUNetTrainer_20epochs__nnUNetPlans__3d_fullres/fold_0/training_log_2023_8_9_12_37_51.txt @@ -0,0 +1,216 @@ + +####################################################################### +Please cite the following paper when using nnU-Net: +Isensee, F., Jaeger, P. F., Kohl, S. A., Petersen, J., & Maier-Hein, K. H. (2021). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 18(2), 203-211. +####################################################################### + + +This is the configuration used by this training: +Configuration name: 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'], '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, 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': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'batch_dice': False} + +These are the global plan.json settings: + {'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], 'experiment_planner_used': 'ExperimentPlanner', 'label_manager': 'LabelManager', 'foreground_intensity_properties_per_channel': {'0': {'max': 1694.0, 'mean': 267.5592956542969, 'median': 242.0, 'min': 0.0, 'percentile_00_5': 37.0, 'percentile_99_5': 768.0, 'std': 136.02105712890625}}} + +2023-08-09 12:37:56.514219: unpacking dataset... +2023-08-09 12:38:09.118973: unpacking done... +2023-08-09 12:38:09.119829: do_dummy_2d_data_aug: True +2023-08-09 12:38:09.121469: Creating new 5-fold cross-validation split... +2023-08-09 12:38:09.123542: Desired fold for training: 0 +2023-08-09 12:38:09.123629: This split has 111 training and 28 validation cases. +2023-08-09 12:38:37.643060: Unable to plot network architecture: +2023-08-09 12:38:37.643719: module 'torch.onnx' has no attribute '_optimize_trace' +2023-08-09 12:38:37.783901: +2023-08-09 12:38:37.784032: Epoch 0 +2023-08-09 12:38:37.784223: Current learning rate: 0.01 +2023-08-09 12:47:23.374563: train_loss -0.0624 +2023-08-09 12:47:23.375118: val_loss -0.2181 +2023-08-09 12:47:23.378070: Pseudo dice [0.6151, 0.1853] +2023-08-09 12:47:23.378542: Epoch time: 525.59 s +2023-08-09 12:47:23.378937: Yayy! New best EMA pseudo Dice: 0.4002 +2023-08-09 12:47:28.078553: +2023-08-09 12:47:28.078728: Epoch 1 +2023-08-09 12:47:28.078918: Current learning rate: 0.00955 +2023-08-09 12:54:04.371329: train_loss -0.2897 +2023-08-09 12:54:04.371778: val_loss -0.3491 +2023-08-09 12:54:04.372517: Pseudo dice [0.701, 0.331] +2023-08-09 12:54:04.372842: Epoch time: 396.3 s +2023-08-09 12:54:04.373190: Yayy! New best EMA pseudo Dice: 0.4118 +2023-08-09 12:54:08.371820: +2023-08-09 12:54:08.372001: Epoch 2 +2023-08-09 12:54:08.372173: Current learning rate: 0.0091 +2023-08-09 13:00:48.200500: train_loss -0.43 +2023-08-09 13:00:48.200996: val_loss -0.4536 +2023-08-09 13:00:48.201478: Pseudo dice [0.7041, 0.4896] +2023-08-09 13:00:48.201866: Epoch time: 399.83 s +2023-08-09 13:00:48.202209: Yayy! New best EMA pseudo Dice: 0.4303 +2023-08-09 13:00:52.516107: +2023-08-09 13:00:52.516310: Epoch 3 +2023-08-09 13:00:52.516535: Current learning rate: 0.00864 +2023-08-09 13:07:22.709342: train_loss -0.5352 +2023-08-09 13:07:22.709760: val_loss -0.5758 +2023-08-09 13:07:22.710269: Pseudo dice [0.8091, 0.6097] +2023-08-09 13:07:22.710874: Epoch time: 390.2 s +2023-08-09 13:07:22.711257: Yayy! New best EMA pseudo Dice: 0.4582 +2023-08-09 13:07:26.616568: +2023-08-09 13:07:26.616745: Epoch 4 +2023-08-09 13:07:26.616941: Current learning rate: 0.00818 +2023-08-09 13:14:34.285324: train_loss -0.5988 +2023-08-09 13:14:34.285798: val_loss -0.607 +2023-08-09 13:14:34.286231: Pseudo dice [0.8217, 0.653] +2023-08-09 13:14:34.286626: Epoch time: 427.67 s +2023-08-09 13:14:34.286976: Yayy! New best EMA pseudo Dice: 0.4861 +2023-08-09 13:14:38.369885: +2023-08-09 13:14:38.370053: Epoch 5 +2023-08-09 13:14:38.370234: Current learning rate: 0.00772 +2023-08-09 13:21:34.753762: train_loss -0.6398 +2023-08-09 13:21:34.754331: val_loss -0.6131 +2023-08-09 13:21:34.754891: Pseudo dice [0.8374, 0.604] +2023-08-09 13:21:34.755321: Epoch time: 416.39 s +2023-08-09 13:21:34.755674: Yayy! New best EMA pseudo Dice: 0.5096 +2023-08-09 13:21:38.636120: +2023-08-09 13:21:38.636296: Epoch 6 +2023-08-09 13:21:38.636486: Current learning rate: 0.00725 +2023-08-09 13:28:31.065666: train_loss -0.6656 +2023-08-09 13:28:31.066051: val_loss -0.6403 +2023-08-09 13:28:31.066293: Pseudo dice [0.8326, 0.67] +2023-08-09 13:28:31.066488: Epoch time: 412.43 s +2023-08-09 13:28:31.066665: Yayy! New best EMA pseudo Dice: 0.5337 +2023-08-09 13:28:35.168060: +2023-08-09 13:28:35.168221: Epoch 7 +2023-08-09 13:28:35.168432: Current learning rate: 0.00679 +2023-08-09 13:35:11.142921: train_loss -0.6824 +2023-08-09 13:35:11.143306: val_loss -0.6359 +2023-08-09 13:35:11.143518: Pseudo dice [0.8407, 0.669] +2023-08-09 13:35:11.143698: Epoch time: 395.98 s +2023-08-09 13:35:11.143847: Yayy! New best EMA pseudo Dice: 0.5559 +2023-08-09 13:35:15.224336: +2023-08-09 13:35:15.224496: Epoch 8 +2023-08-09 13:35:15.224687: Current learning rate: 0.00631 +2023-08-09 13:42:02.658924: train_loss -0.6921 +2023-08-09 13:42:02.659350: val_loss -0.6563 +2023-08-09 13:42:02.659733: Pseudo dice [0.8532, 0.6881] +2023-08-09 13:42:02.660029: Epoch time: 407.44 s +2023-08-09 13:42:02.660338: Yayy! New best EMA pseudo Dice: 0.5773 +2023-08-09 13:42:07.587430: +2023-08-09 13:42:07.587598: Epoch 9 +2023-08-09 13:42:07.587793: Current learning rate: 0.00584 +2023-08-09 13:48:59.084980: train_loss -0.7154 +2023-08-09 13:48:59.085481: val_loss -0.6696 +2023-08-09 13:48:59.086016: Pseudo dice [0.8599, 0.6917] +2023-08-09 13:48:59.086362: Epoch time: 411.5 s +2023-08-09 13:48:59.086693: Yayy! New best EMA pseudo Dice: 0.5972 +2023-08-09 13:49:03.075332: +2023-08-09 13:49:03.075509: Epoch 10 +2023-08-09 13:49:03.075781: Current learning rate: 0.00536 +2023-08-09 13:55:43.968673: train_loss -0.7156 +2023-08-09 13:55:43.969544: val_loss -0.6644 +2023-08-09 13:55:43.969882: Pseudo dice [0.8632, 0.6822] +2023-08-09 13:55:43.970250: Epoch time: 400.9 s +2023-08-09 13:55:43.970624: Yayy! New best EMA pseudo Dice: 0.6147 +2023-08-09 13:55:47.914523: +2023-08-09 13:55:47.914696: Epoch 11 +2023-08-09 13:55:47.914883: Current learning rate: 0.00487 +2023-08-09 14:02:31.476425: train_loss -0.727 +2023-08-09 14:02:31.477156: val_loss -0.7004 +2023-08-09 14:02:31.477515: Pseudo dice [0.8734, 0.7236] +2023-08-09 14:02:31.477910: Epoch time: 403.56 s +2023-08-09 14:02:31.478241: Yayy! New best EMA pseudo Dice: 0.6331 +2023-08-09 14:02:35.425432: +2023-08-09 14:02:35.425610: Epoch 12 +2023-08-09 14:02:35.425814: Current learning rate: 0.00438 +2023-08-09 14:09:26.382879: train_loss -0.7336 +2023-08-09 14:09:26.383359: val_loss -0.7052 +2023-08-09 14:09:26.383745: Pseudo dice [0.8871, 0.7137] +2023-08-09 14:09:26.384054: Epoch time: 410.96 s +2023-08-09 14:09:26.384356: Yayy! New best EMA pseudo Dice: 0.6498 +2023-08-09 14:09:30.373808: +2023-08-09 14:09:30.373965: Epoch 13 +2023-08-09 14:09:30.374167: Current learning rate: 0.00389 +2023-08-09 14:16:27.564044: train_loss -0.7404 +2023-08-09 14:16:27.564785: val_loss -0.6754 +2023-08-09 14:16:27.565230: Pseudo dice [0.8541, 0.7099] +2023-08-09 14:16:27.565638: Epoch time: 417.19 s +2023-08-09 14:16:27.565987: Yayy! New best EMA pseudo Dice: 0.6631 +2023-08-09 14:16:32.880051: +2023-08-09 14:16:32.880439: Epoch 14 +2023-08-09 14:16:32.880672: Current learning rate: 0.00338 +2023-08-09 14:23:23.430668: train_loss -0.7491 +2023-08-09 14:23:23.437482: val_loss -0.71 +2023-08-09 14:23:23.437762: Pseudo dice [0.8845, 0.728] +2023-08-09 14:23:23.438041: Epoch time: 410.55 s +2023-08-09 14:23:23.438299: Yayy! New best EMA pseudo Dice: 0.6774 +2023-08-09 14:23:28.193214: +2023-08-09 14:23:28.193395: Epoch 15 +2023-08-09 14:23:28.193566: Current learning rate: 0.00287 +2023-08-09 14:30:12.535658: train_loss -0.7547 +2023-08-09 14:30:12.536156: val_loss -0.6971 +2023-08-09 14:30:12.536631: Pseudo dice [0.8777, 0.714] +2023-08-09 14:30:12.537034: Epoch time: 404.34 s +2023-08-09 14:30:12.537458: Yayy! New best EMA pseudo Dice: 0.6892 +2023-08-09 14:30:16.620162: +2023-08-09 14:30:16.620335: Epoch 16 +2023-08-09 14:30:16.620518: Current learning rate: 0.00235 +2023-08-09 14:37:02.526894: train_loss -0.7532 +2023-08-09 14:37:02.527341: val_loss -0.7005 +2023-08-09 14:37:02.527710: Pseudo dice [0.8756, 0.7175] +2023-08-09 14:37:02.527978: Epoch time: 405.91 s +2023-08-09 14:37:02.528179: Yayy! New best EMA pseudo Dice: 0.7 +2023-08-09 14:37:06.642831: +2023-08-09 14:37:06.643001: Epoch 17 +2023-08-09 14:37:06.643189: Current learning rate: 0.00181 +2023-08-09 14:43:55.757970: train_loss -0.7646 +2023-08-09 14:43:55.758626: val_loss -0.7189 +2023-08-09 14:43:55.759083: Pseudo dice [0.8777, 0.7465] +2023-08-09 14:43:55.759470: Epoch time: 409.12 s +2023-08-09 14:43:55.759761: Yayy! New best EMA pseudo Dice: 0.7112 +2023-08-09 14:43:59.624085: +2023-08-09 14:43:59.624248: Epoch 18 +2023-08-09 14:43:59.624444: Current learning rate: 0.00126 +2023-08-09 14:50:41.361408: train_loss -0.7641 +2023-08-09 14:50:41.361686: val_loss -0.7084 +2023-08-09 14:50:41.361881: Pseudo dice [0.868, 0.7344] +2023-08-09 14:50:41.362043: Epoch time: 401.74 s +2023-08-09 14:50:41.362182: Yayy! New best EMA pseudo Dice: 0.7202 +2023-08-09 14:50:45.439736: +2023-08-09 14:50:45.439915: Epoch 19 +2023-08-09 14:50:45.440098: Current learning rate: 0.00067 +2023-08-09 14:57:12.083210: train_loss -0.7651 +2023-08-09 14:57:12.091323: val_loss -0.7028 +2023-08-09 14:57:12.091592: Pseudo dice [0.8792, 0.7146] +2023-08-09 14:57:12.091781: Epoch time: 386.65 s +2023-08-09 14:57:12.091962: Yayy! New best EMA pseudo Dice: 0.7279 +2023-08-09 14:57:17.827835: Using splits from existing split file: nnUNet_preprocessed/Dataset001_Prostate158/splits_final.json +2023-08-09 14:57:17.828371: The split file contains 5 splits. +2023-08-09 14:57:17.828490: Desired fold for training: 0 +2023-08-09 14:57:17.828571: This split has 111 training and 28 validation cases. +2023-08-09 14:57:17.829174: predicting PROSTATE_104 +2023-08-09 14:57:37.043774: predicting PROSTATE_116 +2023-08-09 14:57:42.916978: predicting PROSTATE_117 +2023-08-09 14:57:48.710002: predicting PROSTATE_119 +2023-08-09 14:57:54.321064: predicting PROSTATE_124 +2023-08-09 14:57:59.937181: predicting PROSTATE_128 +2023-08-09 14:58:05.553565: predicting PROSTATE_133 +2023-08-09 14:58:11.168500: predicting PROSTATE_142 +2023-08-09 14:58:16.783041: predicting PROSTATE_145 +2023-08-09 14:58:22.406610: predicting PROSTATE_148 +2023-08-09 14:58:28.082364: predicting PROSTATE_154 +2023-08-09 14:58:33.697738: predicting PROSTATE_21 +2023-08-09 14:58:39.314116: predicting PROSTATE_28 +2023-08-09 14:58:44.929766: predicting PROSTATE_31 +2023-08-09 14:58:50.545895: predicting PROSTATE_39 +2023-08-09 14:58:56.158350: predicting PROSTATE_45 +2023-08-09 14:59:01.781551: predicting PROSTATE_46 +2023-08-09 14:59:07.406617: predicting PROSTATE_49 +2023-08-09 14:59:13.017038: predicting PROSTATE_50 +2023-08-09 14:59:18.634349: predicting PROSTATE_55 +2023-08-09 14:59:24.250994: predicting PROSTATE_60 +2023-08-09 14:59:35.400831: predicting PROSTATE_63 +2023-08-09 14:59:41.026467: predicting PROSTATE_69 +2023-08-09 14:59:46.642864: predicting PROSTATE_70 +2023-08-09 14:59:52.260042: predicting PROSTATE_72 +2023-08-09 14:59:57.888263: predicting PROSTATE_81 +2023-08-09 15:00:03.544763: predicting PROSTATE_91 +2023-08-09 15:00:09.160852: predicting PROSTATE_97 +2023-08-09 15:00:43.723014: Validation complete +2023-08-09 15:00:43.723143: Mean Validation Dice: 0.7910807565880633 diff --git 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