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{
"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
"version": "0.0.4",
"changelog": {
"0.0.4": "add name tag",
"0.0.3": "update to use monai 1.1.0",
"0.0.2": "update to use rc1",
"0.0.1": "Initial version"
},
"monai_version": "1.1.0",
"pytorch_version": "1.13.0",
"numpy_version": "1.22.2",
"optional_packages_version": {
"pytorch-ignite": "0.4.8"
},
"name": "MedNIST registration",
"task": "Spatial transformer for hand image registration from the MedNIST dataset",
"description": "This is an example of a ResNet and spatial transformer for hand xray image registration",
"authors": "MONAI team",
"copyright": "Copyright (c) MONAI Consortium",
"intended_use": "This is an example of image registration using MONAI, suitable for demonstration purposes only.",
"data_type": "jpeg",
"network_data_format": {
"inputs": {
"image": {
"type": "image",
"format": "magnitude",
"num_channels": 2,
"spatial_shape": [
64,
64
],
"dtype": "float32",
"value_range": [
0,
1
],
"is_patch_data": false,
"channel_def": {
"0": "moving image",
"1": "fixed image"
}
}
},
"outputs": {
"pred": {
"type": "image",
"format": "magnitude",
"num_channels": 1,
"spatial_shape": [
64,
64
],
"dtype": "float32",
"value_range": [
0,
1
],
"is_patch_data": false,
"channel_def": {
"0": "image"
}
}
}
}
}
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