Update rsna-2023-abdominal-trauma-detection.py

rsna-2023-abdominal-trauma-detection.py

@@ -1,6 +1,6 @@
-import pandas as pd
 import urllib
-
+import numpy as np
+import pandas as pd
 import datasets
 
 
@@ -296,26 +296,36 @@ class RSNA2023AbdominalTraumaDetectionSegmentation(datasets.GeneratorBasedBuilde
                 yield key, {
                     "img_path": img_path,
                     "seg_path": seg_path,
-                    "bowel": [label_data["bowel_healthy"], label_data["bowel_injury"]],
-                    "extravasation": [
-                        label_data["extravasation_healthy"],
-                        label_data["extravasation_injury"],
-                    ],
-                    "kidney": [
-                        label_data["kidney_healthy"],
-                        label_data["kidney_low"],
-                        label_data["kidney_high"],
-                    ],
-                    "liver": [
-                        label_data["liver_healthy"],
-                        label_data["liver_low"],
-                        label_data["liver_high"],
-                    ],
-                    "spleen": [
-                        label_data["spleen_healthy"],
-                        label_data["spleen_low"],
-                        label_data["spleen_high"],
-                    ],
+                    "bowel": np.argmax(
+                        [label_data["bowel_healthy"], label_data["bowel_injury"]]
+                    ),
+                    "extravasation": np.argmax(
+                        [
+                            label_data["extravasation_healthy"],
+                            label_data["extravasation_injury"],
+                        ]
+                    ),
+                    "kidney": np.argmax(
+                        [
+                            label_data["kidney_healthy"],
+                            label_data["kidney_low"],
+                            label_data["kidney_high"],
+                        ]
+                    ),
+                    "liver": np.argmax(
+                        [
+                            label_data["liver_healthy"],
+                            label_data["liver_low"],
+                            label_data["liver_high"],
+                        ]
+                    ),
+                    "spleen": np.argmax(
+                        [
+                            label_data["spleen_healthy"],
+                            label_data["spleen_low"],
+                            label_data["spleen_high"],
+                        ]
+                    ),
                     "any_injury": label_data["any_injury"],
                     "metadata": {
                         "series_id": series_id,