{ "1": "A few subcentimeter nonspecific nodules in both lungs", "finding_id": 0, "mask_stats": [ { "z_span": [ 124, 126 ], "max_area_slice_index": 126, "bbox_xyxy": [ 186, 385, 193, 392 ], "max_area": 48, "total_voxels": 121, "num_slices_with_mask": 3, "entity_index": 0, "entity_value": 1, "selected_slices": [ 50, 63, 77, 90, 104, 117, 126, 144, 157, 171, 184, 197, 211, 224, 238, 248 ], "hit_slices": [ 126 ], "hit_slices_info": { "126": { "area": 48, "bbox_xyxy": [ 186, 385, 193, 392 ], "entity_value": 1, "used_fallback_union": false } }, "is_hit": 1, "export_source_csv": "/home/deeplearning/data/data2/wzc/LLM4SAM/Final_data_process_pipeline/data/ct_data_ori_npy_multi_finding/retrieval_by_mask_results_train_even_spacing/report_multi_mask_even_spacing_maxE3_ratio0.9_smooth9_minGap1.csv" }, { "z_span": [ 247, 249 ], "max_area_slice_index": 248, "bbox_xyxy": [ 298, 376, 308, 385 ], "max_area": 80, "total_voxels": 206, "num_slices_with_mask": 3, "entity_index": 1, "entity_value": 2, "selected_slices": [ 50, 63, 77, 90, 104, 117, 126, 144, 157, 171, 184, 197, 211, 224, 238, 248 ], "hit_slices": [ 248 ], "hit_slices_info": { "248": { "area": 80, "bbox_xyxy": [ 298, 376, 308, 385 ], "entity_value": 2, "used_fallback_union": false } }, "is_hit": 1, "export_source_csv": "/home/deeplearning/data/data2/wzc/LLM4SAM/Final_data_process_pipeline/data/ct_data_ori_npy_multi_finding/retrieval_by_mask_results_train_even_spacing/report_multi_mask_even_spacing_maxE3_ratio0.9_smooth9_minGap1.csv" } ], "meta": { "case": "train_11292_a_1.nii.gz", "split": "train" }, "accepted_seeds": [ { "mask_idx": 1, "seed_slice": 248, "max_area": 80.0, "replaced_slice": 251 }, { "mask_idx": 0, "seed_slice": 126, "max_area": 48.0, "replaced_slice": 130 } ], "dropped_seeds": [], "export_summary": { "num_masks": 2, "hit_mask_count": 2, "is_hit_any": 1, "selected_slices": [ 50, 63, 77, 90, 104, 117, 126, 144, 157, 171, 184, 197, 211, 224, 238, 248 ], "export_source_csv": "/home/deeplearning/data/data2/wzc/LLM4SAM/Final_data_process_pipeline/data/ct_data_ori_npy_multi_finding/retrieval_by_mask_results_train_even_spacing/report_multi_mask_even_spacing_maxE3_ratio0.9_smooth9_minGap1.csv" } }