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example_spleen_segmentation

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example_spleen_segmentation
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{
    "dataset_dir": "/workspace/data/medical/spleen",
    "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",
    "network_def": {
        "_target_": "UNet",
        "spatial_dims": 3,
        "in_channels": 1,
        "out_channels": 2,
        "channels": [
            16,
            32,
            64,
            128,
            256
        ],
        "strides": [
            2,
            2,
            2,
            2
        ],
        "num_res_units": 2,
        "norm": "batch"
    },
    "network": "$@network_def.to(@device)",
    "preprocessing": {
        "_target_": "Compose",
        "transforms": [
            {
                "_target_": "LoadImaged",
                "keys": "image"
            },
            {
                "_target_": "EnsureChannelFirstd",
                "keys": "image"
            },
            {
                "_target_": "ScaleIntensityRanged",
                "keys": "image",
                "a_min": -57,
                "a_max": 164,
                "b_min": 0,
                "b_max": 1,
                "clip": true
            },
            {
                "_target_": "EnsureTyped",
                "keys": "image"
            }
        ]
    },
    "datalist": {
        "_target_": "DatasetFunc",
        "data": "$@dataset_dir + '/dataset.json'",
        "func": "$monai.data.load_decathlon_datalist",
        "is_segmentation": true,
        "data_list_key": "test",
        "base_dir": "@dataset_dir"
    },
    "dataset": {
        "_target_": "Dataset",
        "data": "@datalist",
        "transform": "@preprocessing"
    },
    "dataloader": {
        "_target_": "DataLoader",
        "dataset": "@dataset",
        "batch_size": 1,
        "shuffle": false,
        "num_workers": 4
    },
    "inferer": {
        "_target_": "SlidingWindowInferer",
        "roi_size": [
            96,
            96,
            96
        ],
        "sw_batch_size": 4,
        "overlap": 0.5
    },
    "postprocessing": {
        "_target_": "Compose",
        "transforms": [
            {
                "_target_": "Activationsd",
                "keys": "pred",
                "softmax": true
            },
            {
                "_target_": "AsDiscreted",
                "keys": "pred",
                "argmax": true
            },
            {
                "_target_": "SaveImaged",
                "keys": "pred",
                "meta_keys": "image_meta_dict",
                "output_dir": "eval"
            }
        ]
    },
    "evaluator": {
        "_target_": "SupervisedEvaluator",
        "device": "@device",
        "val_data_loader": "@dataloader",
        "network": "@network",
        "inferer": "@inferer",
        "postprocessing": "@postprocessing",
        "amp": false
    }
}