Upload breast_density_classification version 0.1.8

configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
-    "version": "0.1.7",
+    "version": "0.1.8",
     "changelog": {
+        "0.1.8": "enhance metadata with improved descriptions and task specification",
         "0.1.7": "update to huggingface hosting",
         "0.1.6": "Remove meta dict usage",
         "0.1.5": "Fixed duplication of input output format section",
@@ -19,12 +20,12 @@
     },
     "supported_apps": {},
     "name": "Breast density classification",
-    "task": "Breast Density Classification",
-    "description": "A pre-trained model for classifying breast images (mammograms)  ",
+    "task": "Mammographic Breast Density Classification (BI-RADS)",
+    "description": "A deep learning model for automated classification of breast tissue density in mammograms according to the BI-RADS density categories (A through D). The model processes 299x299 pixel images and classifies breast tissue into four categories: fatty, scattered fibroglandular, heterogeneously dense, and extremely dense.",
     "authors": "Center for Augmented Intelligence in Imaging, Mayo Clinic Florida",
     "copyright": "Copyright (c) Mayo Clinic",
-    "data_source": "Mayo Clinic ",
-    "data_type": "Jpeg",
+    "data_source": "Mayo Clinic",
+    "data_type": "jpeg",
     "image_classes": "three channel data, intensity scaled to [0, 1]. A single grayscale is copied to 3 channels",
     "label_classes": "four classes marked as [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0] and [0, 0, 0, 1] for the classes A, B, C and D respectively.",
     "pred_classes": "One hot data",