This issue is to keep track of issues in the JSON response format. Here is a sample response JSON:
```
{
"name": "MONAILabel - Radiology",
"description": "DeepLearning models for radiology",
"version": "2.0",
"labels": [
"background",
"spleen",
"right kidney",
"left kidney",
"liver",
"stomach",
"aorta",
"inferior vena cava",
"gallbladder",
"esophagus",
"portal vein and splenic vein",
"pancreas",
"right adrenal gland",
"left adrenal gland"
],
"models": {
"deepedit": {
"type": "deepedit",
"labels": {
"spleen": 1,
"right kidney": 2,
"left kidney": 3,
"liver": 6,
"stomach": 7,
"aorta": 8,
"inferior vena cava": 9,
"background": 0
},
"dimension": 3,
"description": "A DeepEdit model for volumetric (3D) segmentation over 3D Images",
"config": {}
},
"deepgrow_2d": {
"type": "deepgrow",
"labels": [
"spleen",
"right kidney",
"left kidney",
"liver",
"stomach",
"aorta",
"inferior vena cava"
],
"dimension": 2,
"description": "A pre-trained DeepGrow model based on UNET",
"config": {}
},
"segmentation_spleen": {
"type": "segmentation",
"labels": {
"spleen": 1
},
"dimension": 3,
"description": "A pre-trained model for volumetric (3D) segmentation of the spleen from CT image",
"config": {}
},
"Histogram+GraphCut": {
"type": "scribbles",
"labels": {
"spleen": 1
},
"dimension": 3,
"description": "A post processing step with histogram-based GraphCut for Generic segmentation",
"config": {
"num_bins": 64,
"lamda": 1,
"sigma": 0.1
}
},
"GMM+GraphCut": {
"type": "scribbles",
"labels": {
"spleen": 1
},
"dimension": 3,
"description": "A post processing step with GMM-based GraphCut for Generic segmentation",
"config": {
"num_mixtures": 20,
"lamda": 5,
"sigma": 0.5
}
```