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

rsna-2023-abdominal-trauma-detection.py

@@ -176,7 +176,7 @@ class RSNA2023AbdominalTraumaDetectionSegmentation(datasets.GeneratorBasedBuilde
             img_files = dl_manager.download(
                 series_meta_df.apply(
                     lambda x: urllib.parse.urljoin(
-                        _URL, f"train_images/{x['patient_id']}/{x['series_id']}.nii.gz"
+                        _URL, f"train_images/{int(x['patient_id'])}/{int(x['series_id'])}.nii.gz"
                     ),
                     axis=1,
                 ).tolist()
@@ -184,7 +184,7 @@ class RSNA2023AbdominalTraumaDetectionSegmentation(datasets.GeneratorBasedBuilde
             seg_files = dl_manager.download(
                 series_meta_df.apply(
                     lambda x: urllib.parse.urljoin(
-                        _URL, f"segmentations/{x['series_id']}.nii.gz"
+                        _URL, f"segmentations/{int(x['series_id'])}.nii.gz"
                     ),
                     axis=1,
                 ).tolist()
@@ -193,7 +193,7 @@ class RSNA2023AbdominalTraumaDetectionSegmentation(datasets.GeneratorBasedBuilde
             img_files = dl_manager.download(
                 series_meta_df.apply(
                     lambda x: urllib.parse.urljoin(
-                        _URL, f"train_images/{x['patient_id']}/{x['series_id']}.nii.gz"
+                        _URL, f"train_images/{int(x['patient_id'])}/{int(x['series_id'])}.nii.gz"
                     ),
                     axis=1,
                 ).tolist()