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Update README.md

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  1. README.md +44 -20
README.md CHANGED
@@ -9,24 +9,48 @@ The model was trained on a large-scale multi-center CT dataset with expert-annot
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  ```bash
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  "labels": {
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  "background": 0,
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- "liver_segment_1": 1,
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- "liver_segment_2": 2,
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- "liver_segment_3": 3,
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- "liver_segment_4": 4,
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- "liver_segment_5": 5,
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- "liver_segment_6": 6,
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- "liver_segment_7": 7,
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- "liver_segment_8": 8,
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- "pancreas_head": 9,
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- "pancreas_body": 10,
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- "pancreas_tail": 11,
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- "kidney_left": 12,
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- "kidney_right": 13,
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- "colon": 14,
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- "liver_lesion": 15,
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- "pancreatic_lesion": 16,
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- "kidney_lesion": 17,
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- "colon_lesion": 18
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ```
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@@ -56,7 +80,7 @@ nnUNet_eval/
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  ```bash
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  nnUNet_results/
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- └── Dataset1351/nnUNetTrainer__nnUNetResEncUNetLPlans__3d_fullres/fold_all/
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  ```
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  #### 2.3 Run inference
@@ -68,7 +92,7 @@ export nnUNet_predictions="./nnUNet_predictions"
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  export nnUNet_eval="./nnUNet_eval"
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  GPU_ID=0
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- DATASET=1351
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  TRAINER=nnUNetTrainer
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  ```bash
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  "labels": {
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  "background": 0,
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+ "aorta": 1,
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+ "gall_bladder": 2,
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+ "kidney_left": 3,
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+ "kidney_right": 4,
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+ "liver": 5,
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+ "pancreas_body": 6,
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+ "pancreas_head": 7,
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+ "pancreas_tail": 8,
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+ "postcava": 9,
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+ "spleen": 10,
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+ "stomach": 11,
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+ "adrenal_gland_left": 12,
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+ "adrenal_gland_right": 13,
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+ "bladder": 14,
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+ "celiac_trunk": 15,
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+ "colon": 16,
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+ "duodenum": 17,
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+ "esophagus": 18,
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+ "prostate": 19,
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+ "rectum": 20,
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+ "lung_left": 21,
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+ "lung_right": 22,
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+ "vertebrae_L5": 23,
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+ "vertebrae_L4": 24,
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+ "vertebrae_L3": 25,
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+ "vertebrae_L2": 26,
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+ "vertebrae_L1": 27,
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+ "vertebrae_T12": 28,
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+ "vertebrae_T11": 29,
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+ "vertebrae_T10": 30,
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+ "vertebrae_T9": 31,
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+ "vertebrae_T8": 32,
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+ "trachea": 33,
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+ "heart": 34,
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+ "hip_left": 35,
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+ "hip_right": 36,
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+ "sacrum": 37,
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+ "uterus": 38,
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+ "liver_lesion": 39,
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+ "pancreatic_lesion": 40,
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+ "kidney_lesion": 41,
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+ "colon_lesion": 42
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  }
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  ```
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  ```bash
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  nnUNet_results/
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+ └── Dataset1356/nnUNetTrainer__nnUNetResEncUNetLPlans__3d_fullres/fold_all/
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  ```
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  #### 2.3 Run inference
 
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  export nnUNet_eval="./nnUNet_eval"
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  GPU_ID=0
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+ DATASET=1356
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  TRAINER=nnUNetTrainer
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