File size: 1,772 Bytes
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"model_name": "DenseNet3DSmooth",
"preprocessor_name": null,
"model_params": {
"in_channels_ct": 1,
"in_channels_dose": 1,
"in_channels_mask": 1,
"drop_rate": 0.3,
"use_skip_connections": true,
"arch": [4, 4, 4],
"stem_out_channels_total": 96,
"growth_rate": 32,
"batch_norm_dose": true
},
"model_preprocessing": {
"type_order": ["dose", "mask", "ct"],
"modality": {
"dose": {
"extract": false,
"normalization_value": 70.0,
"description": "Physical dose, normalized by the prescription."
},
"ct": {
"window": [-1000, 1000],
"description": "CT in Hounsfield units, windowed to [-1000, 1000]."
},
"mask": {
"collapse": true,
"description": "Binary structure mask (collapsed to a single channel)."
}
},
"input_dimensions": [100, 100, 40],
"input_spacing": [3.0, 3.0, 2.5],
"center": "target"
},
"metadata": {
"description": "DenseNet3DSmooth NTCP outcome model for the TG119 proton phantom.",
"training": {
"dataset": "tg119",
"modality": "protons",
"input_resolution_mm": [3.0, 3.0, 2.5],
"notes": "Dose-preserving DenseNet3D (BatchNorm, anti-aliased pooling); dose normalized by 70 Gy prescription."
},
"model_input": {
"type_order": ["dose", "mask", "ct"],
"tensor_shapes": {
"dose": [1, 100, 100, 40],
"ct": [1, 100, 100, 40],
"mask": [1, 100, 100, 40]
}
}
}
}
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