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3.84 kB
| { | |
| "archive_metadata": { | |
| "archive_name": "Baseline 3D U-Net Final Evaluation Reference", | |
| "created_utc": "2026-09-02T17:50:33.575997+00:00", | |
| "evaluation_block": "Block 13", | |
| "archive_block": "Block 14", | |
| "status": "FINAL_BASELINE_REFERENCE" | |
| }, | |
| "repository": { | |
| "huggingface_repo": "Reduanul1997/RepositoryBaseLine3DuNet", | |
| "repo_type": "model" | |
| }, | |
| "model": { | |
| "name": "Original3DUNet", | |
| "architecture": "Baseline 3D U-Net", | |
| "input_channels": 4, | |
| "output_classes": 4, | |
| "parameters": 22580964 | |
| }, | |
| "dataset": { | |
| "dataset": "BraTS2020", | |
| "modalities": [ | |
| "FLAIR", | |
| "T1", | |
| "T1ce", | |
| "T2" | |
| ], | |
| "classes": [ | |
| "Background", | |
| "NCR/NET", | |
| "Edema", | |
| "Enhancing Tumor" | |
| ], | |
| "training_patients": 294, | |
| "validation_patients": 74, | |
| "patch_size": [ | |
| 64, | |
| 64, | |
| 64 | |
| ] | |
| }, | |
| "model_selection": { | |
| "best_model_epoch": 45, | |
| "best_validation_dice_from_training": 0.772125, | |
| "note": "This is the validation Dice reported by the training pipeline and used for model selection. It is distinct from the independently recomputed full-validation confusion-matrix metrics." | |
| }, | |
| "evaluation_reference": { | |
| "foreground_macro": { | |
| "dice": 0.757824, | |
| "iou": 0.618727, | |
| "precision": 0.781685, | |
| "recall": 0.740964 | |
| }, | |
| "tumor_binary": { | |
| "dice": 0.927715, | |
| "iou": 0.865175, | |
| "precision": 0.942361, | |
| "recall": 0.913516, | |
| "sensitivity": 0.913516, | |
| "false_negative_rate": 0.086484, | |
| "false_positive_rate": 0.017968, | |
| "TP": 4312069, | |
| "TN": 14414613, | |
| "FP": 263746, | |
| "FN": 408228 | |
| }, | |
| "per_class": { | |
| "Unknown": { | |
| "Model": "Original3DUNet", | |
| "Best_Model_Epoch": 45.0, | |
| "Class_ID": 3.0, | |
| "Class_Name": "Enhancing Tumor", | |
| "Dice": 0.8352533422346283, | |
| "IoU": 0.7171116024810977, | |
| "Precision": 0.8498932748404121, | |
| "Recall": 0.8211092324031519, | |
| "Sensitivity": 0.8211092324031519, | |
| "FNR": 0.1788907675968382, | |
| "FPR": 0.0080306550029849, | |
| "TP": 835757.0, | |
| "TN": 18233207.0, | |
| "FP": 147610.0, | |
| "FN": 182082.0 | |
| } | |
| } | |
| }, | |
| "baseline_comparison_policy": { | |
| "primary_segmentation_metric": "Foreground Macro Dice", | |
| "secondary_segmentation_metrics": [ | |
| "Foreground Macro IoU", | |
| "Foreground Macro Precision", | |
| "Foreground Macro Recall" | |
| ], | |
| "primary_fn_metric": "Tumor False Negative Rate (FNR)", | |
| "additional_fn_metric": "Tumor False Negatives (FN)", | |
| "additional_tumor_metrics": [ | |
| "Tumor Dice", | |
| "Tumor IoU", | |
| "Tumor Precision", | |
| "Tumor Recall", | |
| "Tumor Sensitivity", | |
| "Tumor FPR" | |
| ], | |
| "comparison_rule": "Future models must be evaluated using the same validation split, preprocessing, class definitions, tumor-vs-background definition, and metric calculation procedure before direct comparison with this baseline." | |
| }, | |
| "artifact_files": [ | |
| "baseline_evaluation_results.json", | |
| "baseline_evaluation_metrics.csv", | |
| "baseline_per_class_metrics.csv", | |
| "baseline_multiclass_confusion_matrix.png", | |
| "baseline_tumor_background_confusion_matrix.png", | |
| "baseline_final_evaluation_summary.json" | |
| ] | |
| } |