config_docker.json

{
    "ProjectName": "VNet Tensorflow",
    "ProjectDetail": {
        "BodyPart": "Liver",
        "Diseases": "Lesion"
    },    
    "TrainingSetting": {
        "Data": {
            "TrainingDataDirectory":"./data/training",
            "TestingDataDirectory": "./data/testing",
            "ImageFilenames": ["image.nii.gz"],
            "LabelFilename": "label.nii.gz"
        },
        "Restore": true,
        "SegmentationClasses": [0,1,2],
        "LogDir": "./tmp/log",
        "CheckpointDir": "./tmp/ckpt",
        "BatchSize": 32,
        "PatchShape": [256,256,32],
        "ImageLog": true,
        "Testing": true,
        "Epoches": 99999,
        "LogInterval": 25,
        "Networks": {
            "Name":"VNet",
            "Dropout": 0.1
        },
        "Loss": {
            "Name": "weighted_sorensen",
            "Weights": [0.01,0.1,1],
            "Alpha": 10
        },
        "Optimizer":{
            "Name": "Adam",
            "InitialLearningRate": 1e-2,
            "Momentum":0.9,
            "Decay":{
                "Factor": 0.99,
                "Steps": 100
            }
        },
        "Spacing": [0.75,0.75,0.75],
        "DropRatio": 0.01,
        "MinPixel":30
    },
    "EvaluationSetting":{
        "Data":{
            "EvaluateDataDirectory": "./data_3DRA/evaluate",
            "ImageFilenames": ["CBCT_reg.nii"],
            "LabelFilename": "label_tf.nii.gz",
            "ProbabilityFilename": "probability_tf.nii.gz"
        },
        "CheckpointPath": "./tmp/ckpt/checkpoint-23125",
        "Stride": [256,256,32],
        "BatchSize": 10,
        "Pipeline": "./pipeline/pipeline2D.yaml",
        "ProbabilityOutput":true,
        "LargestConnectedComponent": true,
        "VolumeThreshold": 50
    }
}