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monai-test
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swin_unetr_btcv_segmentation

monai
medical
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katielink commited on
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1cd32b1
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1 Parent(s): e81f69d

Update figure link in readme

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  1. README.md +1 -1
  2. configs/metadata.json +2 -1
  3. docs/README.md +1 -1
README.md CHANGED
@@ -39,7 +39,7 @@ Output: 14 channels: 0:Background, 1:Spleen, 2:Right Kidney, 3:Left Kideny, 4:Ga
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  ## Performance
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  A graph showing the validation mean Dice for 5000 epochs.
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- ![](./val_dice.png) <br>
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  This model achieves the following Dice score on the validation data (our own split from the training dataset):
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  ## Performance
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  A graph showing the validation mean Dice for 5000 epochs.
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+ ![](https://developer.download.nvidia.com/assets/Clara/Images/monai_swin_unetr_segmentation_val.png) <br>
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  This model achieves the following Dice score on the validation data (our own split from the training dataset):
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configs/metadata.json CHANGED
@@ -1,7 +1,8 @@
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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- "version": "0.3.3",
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  "changelog": {
 
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  "0.3.3": "Update, verify MONAI 1.0.1 and Pytorch 1.13.0",
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  "0.3.2": "enhance readme on commands example",
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  "0.3.1": "fix license Copyright error",
 
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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+ "version": "0.3.4",
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  "changelog": {
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+ "0.3.4": "Update figure link in readme",
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  "0.3.3": "Update, verify MONAI 1.0.1 and Pytorch 1.13.0",
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  "0.3.2": "enhance readme on commands example",
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  "0.3.1": "fix license Copyright error",
docs/README.md CHANGED
@@ -32,7 +32,7 @@ Output: 14 channels: 0:Background, 1:Spleen, 2:Right Kidney, 3:Left Kideny, 4:Ga
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  ## Performance
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  A graph showing the validation mean Dice for 5000 epochs.
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- ![](./val_dice.png) <br>
36
 
37
  This model achieves the following Dice score on the validation data (our own split from the training dataset):
38
 
 
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  ## Performance
33
  A graph showing the validation mean Dice for 5000 epochs.
34
 
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+ ![](https://developer.download.nvidia.com/assets/Clara/Images/monai_swin_unetr_segmentation_val.png) <br>
36
 
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  This model achieves the following Dice score on the validation data (our own split from the training dataset):
38