modify the readme

Author: yiheng-wang-nv

models/swin_unetr_btcv_segmentation/configs/metadata.json

@@ -15,7 +15,7 @@
     "description": "A pre-trained model for volumetric (3D) multi-organ segmentation from CT image",
     "authors": "MONAI team",
     "copyright": "Copyright (c) MONAI Consortium",
-    "data_source": "dataset.tar from https://www.synapse.org/#!Synapse:syn3193805/wiki/217752/",
+    "data_source": "RawData.zip from https://www.synapse.org/#!Synapse:syn3193805/wiki/217752/",
     "data_type": "nibabel",
     "image_classes": "single channel data, intensity scaled to [0, 1]",
     "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",

models/swin_unetr_btcv_segmentation/docs/README.md

@@ -4,21 +4,21 @@ A pre-trained model for volumetric (3D) multi-organ segmentation from CT image.
 # Model Overview
 A pre-trained Swin UNETR [1,2] for volumetric (3D) multi-organ segmentation using CT images from Beyond the Cranial Vault (BTCV) Segmentation Challenge dataset [3].
 ## Data
-The training data is from the [BTCV dataset](https://www.synapse.org/#!Synapse:syn3193805/wiki/89480/).
-
-- Target: Multi-organs
-- Task: Segmentation
-- Modality: CT
-- Size: 30 3D volumes (24 Training + 6 Testing)
-
+The training data is from the [BTCV dataset](https://www.synapse.org/#!Synapse:syn3193805/wiki/89480/) (Please regist in `Synapse` and download the `Abdomen/RawData.zip`).
 The dataset format needs to be redefined using the following commands:
 
 ```
+unzip RawData.zip
 mv RawData/Training/img/ RawData/imagesTr
 mv RawData/Training/label/ RawData/labelsTr
 mv RawData/Testing/img/ RawData/imagesTs
 ```
 
+- Target: Multi-organs
+- Task: Segmentation
+- Modality: CT
+- Size: 30 3D volumes (24 Training + 6 Testing)
+
 ## Training configuration
 The training was performed with at least 32GB-memory GPUs.