Merge branch 'swin_unetr_btcv' of github.com:Project-MONAI/model-zoo into swin_unetr_btcv

Author: yiheng-wang-nv

models/swin_unetr_btcv_segmentation/configs/metadata.json

@@ -21,7 +21,7 @@
     "label_classes": "multi-channel data,0:background,1:spleen, 2:Right Kidney, 3:Left Kideny, 4:Gallbladder, 5:Esophagus, 6:Liver, 7:Stomach, 8:Aorta, 9:IVC, 10:Portal and Splenic Veins, 11:Pancreas, 12:Right adrenal gland, 13:Left adrenal gland",
     "pred_classes": "14 channels OneHot data, 0:background,1:spleen, 2:Right Kidney, 3:Left Kideny, 4:Gallbladder, 5:Esophagus, 6:Liver, 7:Stomach, 8:Aorta, 9:IVC, 10:Portal and Splenic Veins, 11:Pancreas, 12:Right adrenal gland, 13:Left adrenal gland",
     "eval_metrics": {
-        "mean_dice": 0.8312
+        "mean_dice": 0.8283
     },
     "intended_use": "This is an example, not to be used for diagnostic purposes",
     "references": [

models/swin_unetr_btcv_segmentation/docs/README.md

@@ -11,6 +11,14 @@ The training data is from the [BTCV dataset](https://www.synapse.org/#!Synapse:s
 - Modality: CT
 - Size: 30 3D volumes (24 Training + 6 Testing)
 
+The dataset format needs to be redefined using the following commands:
+
+```
+mv RawData/Training/img/ RawData/imagesTr
+mv RawData/Training/label/ RawData/labelsTr
+mv RawData/Testing/img/ RawData/imagesTs
+```
+
 ## Training configuration
 The training was performed with at least 32GB-memory GPUs.
 
@@ -28,7 +36,7 @@ A graph showing the validation mean Dice for 5000 epochs.
 
 This model achieves the following Dice score on the validation data (our own split from the training dataset):
 
-Mean Dice = 0.8312
+Mean Dice = 0.8283
 
 Note that mean dice is computed in the original spacing of the input data.
 ## commands example