Upload brats_mri_segmentation version 0.5.4

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": "0.5.3",
+    "version": "0.5.4",
     "changelog": {
+        "0.5.4": "enhanced metadata with improved descriptions and task specification",
         "0.5.3": "update to huggingface hosting",
         "0.5.2": "use monai 1.4 and update large files",
         "0.5.1": "update to use monai 1.3.1",
@@ -42,11 +43,11 @@
     },
     "supported_apps": {},
     "name": "BraTS MRI segmentation",
-    "task": "Multimodal Brain Tumor segmentation",
-    "description": "A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data",
+    "task": "Multimodal Brain Tumor Subregion Segmentation",
+    "description": "3D segmentation model for delineating brain tumor subregions from multimodal MRI scans (T1, T1c, T2, FLAIR). The model processes 4-channel input volumes with 1mm isotropic resolution and outputs 3-channel segmentation masks for tumor core (TC), whole tumor (WT), and enhancing tumor (ET).",
     "authors": "MONAI team",
     "copyright": "Copyright (c) MONAI Consortium",
-    "data_source": "https://www.med.upenn.edu/sbia/brats2018/data.html",
+    "data_source": "BraTS 2018 Challenge Dataset (https://www.med.upenn.edu/sbia/brats2018/data.html)",
     "data_type": "nibabel",
     "image_classes": "4 channel data, T1c, T1, T2, FLAIR at 1x1x1 mm",
     "label_classes": "3 channel data, channel 0 for Tumor core, channel 1 for Whole tumor, channel 2 for Enhancing tumor",