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monai-test
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pathology_tumor_detection

monai
medical
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katielink commited on
Commit
cec8453
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1 Parent(s): 1e2e125

fix wrong figure url

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Files changed (3) hide show
  1. README.md +1 -1
  2. configs/metadata.json +2 -1
  3. docs/README.md +1 -1
README.md CHANGED
@@ -71,7 +71,7 @@ Inference is performed on WSI in a sliding window manner with specified stride.
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  FROC score is used for evaluating the performance of the model. After inference is done, `evaluate_froc.sh` needs to be run to evaluate FROC score based on predicted probability map (output of inference) and the ground truth tumor masks.
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  This model achieve the ~0.91 accuracy on validation patches, and FROC of 0.685 on the 48 Camelyon testing data that have ground truth annotations available.
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- ![model performance](<https://developer.download.nvidia.com/assets/Clara/Images/monai_pathology_tumor_detection_train_and_val_metrics.png>)
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  # Commands example
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  FROC score is used for evaluating the performance of the model. After inference is done, `evaluate_froc.sh` needs to be run to evaluate FROC score based on predicted probability map (output of inference) and the ground truth tumor masks.
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  This model achieve the ~0.91 accuracy on validation patches, and FROC of 0.685 on the 48 Camelyon testing data that have ground truth annotations available.
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+ ![model performance](https://developer.download.nvidia.com/assets/Clara/Images/monai_pathology_tumor_detection_train_and_val_metrics.png)
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  # Commands example
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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": "0.4.2",
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  "changelog": {
 
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  "0.4.2": "update metadata with new metrics",
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  "0.4.1": "Fix inference print logger and froc",
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  "0.4.0": "add lesion FROC calculation and wsi_reader",
 
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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": "0.4.3",
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  "changelog": {
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+ "0.4.3": "fix wrong figure url",
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  "0.4.2": "update metadata with new metrics",
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  "0.4.1": "Fix inference print logger and froc",
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  "0.4.0": "add lesion FROC calculation and wsi_reader",
docs/README.md CHANGED
@@ -64,7 +64,7 @@ Inference is performed on WSI in a sliding window manner with specified stride.
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  FROC score is used for evaluating the performance of the model. After inference is done, `evaluate_froc.sh` needs to be run to evaluate FROC score based on predicted probability map (output of inference) and the ground truth tumor masks.
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  This model achieve the ~0.91 accuracy on validation patches, and FROC of 0.685 on the 48 Camelyon testing data that have ground truth annotations available.
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- ![model performance](<https://developer.download.nvidia.com/assets/Clara/Images/monai_pathology_tumor_detection_train_and_val_metrics.png>)
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  # Commands example
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  FROC score is used for evaluating the performance of the model. After inference is done, `evaluate_froc.sh` needs to be run to evaluate FROC score based on predicted probability map (output of inference) and the ground truth tumor masks.
66
  This model achieve the ~0.91 accuracy on validation patches, and FROC of 0.685 on the 48 Camelyon testing data that have ground truth annotations available.
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+ ![model performance](https://developer.download.nvidia.com/assets/Clara/Images/monai_pathology_tumor_detection_train_and_val_metrics.png)
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  # Commands example
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