Upload spleen_deepedit_annotation version 0.5.8

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": "0.5.7",
+    "version": "0.5.8",
     "changelog": {
+        "0.5.8": "enhance metadata with improved descriptions",
         "0.5.7": "update to huggingface hosting",
         "0.5.6": "use monai 1.4 and update large files",
         "0.5.5": "update to use monai 1.3.1",
@@ -46,15 +47,15 @@
         "nibabel": "5.2.1"
     },
     "supported_apps": {},
-    "name": "Spleen DeepEdit annotation",
-    "task": "Decathlon spleen segmentation",
-    "description": "This is a pre-trained model for 3D segmentation of the spleen organ from CT images using DeepEdit.",
+    "name": "Spleen DeepEdit Interactive Segmentation",
+    "task": "Interactive Spleen Segmentation in CT Images with Point-based Guidance",
+    "description": "An interactive 3D segmentation model that processes 128x128x128 pixel patches from CT scans to segment the spleen. The model incorporates user-provided point annotations through the DeepEdit framework. It accepts positive and negative click inputs to refine segmentation boundaries in real-time.",
     "authors": "MONAI team",
     "copyright": "Copyright (c) MONAI Consortium",
     "data_source": "Task09_Spleen.tar from http://medicaldecathlon.com/",
     "data_type": "nibabel",
-    "image_classes": "single channel data, intensity scaled to [0, 1]",
-    "label_classes": "single channel data, 1 is spleen, 0 is background",
+    "image_classes": "Three channel input: channel 0: CT image scaled to [0, 1], channels 1-2: positive and negative click maps",
+    "label_classes": "Single channel binary mask: 1: spleen, 0: background",
     "pred_classes": "2 channels OneHot data, channel 1 is spleen, channel 0 is background",
     "eval_metrics": {
         "mean_dice": 0.97