Fixed duplication of input output format section

README.md

@@ -9,13 +9,10 @@ license: apache-2.0
 A pre-trained model for breast-density classification.
 
 # Model Overview
-This model is trained using transfer learning on InceptionV3. The model weights were fine tuned using the Mayo Clinic Data. The details of training and data is outlined in https://arxiv.org/abs/2202.08238.
-
+This model is trained using transfer learning on InceptionV3. The model weights were fine tuned using the Mayo Clinic Data. The details of training and data is outlined in https://arxiv.org/abs/2202.08238. The images should be resampled to a size [299, 299, 3] for training.
+A training pipeline will be added to the model zoo in near future.
 The bundle does not support torchscript.
 
-# Input and Output Formats
-The input image should have the size [3, 299, 299]. The output is an array with probabilities for each of the four class.
-
 # Sample Data
 In the folder `sample_data` few example input images are stored for each category of images. These images are stored in jpeg format for sharing purpose.
 

configs/metadata.json

@@ -1,7 +1,10 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.1.2",
+    "version": "0.1.5",
     "changelog": {
+        "0.1.5": "Fixed duplication of input output format section",
+        "0.1.4": "Changed Readme",
+        "0.1.3": "Change input_dim from 229 to 299",
         "0.1.2": "black autofix format and add name tag",
         "0.1.1": "update license files",
         "0.1.0": "complete the model package"
@@ -37,8 +40,8 @@
                 "modality": "Mammogram",
                 "num_channels": 3,
                 "spatial_shape": [
-                    229,
-                    229
+                    299,
+                    299
                 ],
                 "dtype": "float32",
                 "value_range": [

docs/README.md

@@ -2,13 +2,10 @@
 A pre-trained model for breast-density classification.
 
 # Model Overview
-This model is trained using transfer learning on InceptionV3. The model weights were fine tuned using the Mayo Clinic Data. The details of training and data is outlined in https://arxiv.org/abs/2202.08238.
-
+This model is trained using transfer learning on InceptionV3. The model weights were fine tuned using the Mayo Clinic Data. The details of training and data is outlined in https://arxiv.org/abs/2202.08238. The images should be resampled to a size [299, 299, 3] for training.
+A training pipeline will be added to the model zoo in near future.
 The bundle does not support torchscript.
 
-# Input and Output Formats
-The input image should have the size [3, 299, 299]. The output is an array with probabilities for each of the four class.
-
 # Sample Data
 In the folder `sample_data` few example input images are stored for each category of images. These images are stored in jpeg format for sharing purpose.