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ResEncL-ULS23-MAE

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ResEncL-ULS23-MAE
File size: 2,251 Bytes 
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{
    "architecture_plans": {
        "arch_class_name": "ResEncL",
        "arch_kwargs": null,
        "arch_kwargs_requiring_import": null
    },
    "key_to_encoder": "encoder.stages",
    "key_to_lpe": null,
    "key_to_stem": "encoder.stem",
    "keys_to_in_proj": [
        "encoder.stem.convs.0.conv",
        "encoder.stem.convs.0.all_modules.0"
    ],
    "pretrain_num_input_channels": 1,
    "pretrain_plan": {
        "configurations": {
            "onemmiso": {
                "data_identifier": "nnsslPlans_onemmiso",
                "normalization_schemes": [
                    "ZScoreNormalization"
                ],
                "patch_size": [
                    160,
                    160,
                    160
                ],
                "preprocessor_name": "DefaultPreprocessor",
                "resampling_fn_data": "resample_data_or_seg_to_shape",
                "resampling_fn_data_kwargs": {
                    "force_separate_z": null,
                    "is_seg": false,
                    "order": 3,
                    "order_z": 0
                },
                "resampling_fn_mask": "resample_data_or_seg_to_shape",
                "resampling_fn_mask_kwargs": {
                    "force_separate_z": null,
                    "is_seg": true,
                    "order": 1,
                    "order_z": 0
                },
                "spacing": [
                    1,
                    1,
                    1
                ],
                "spacing_style": "onemmiso",
                "use_mask_for_norm": [
                    false
                ]
            }
        },
        "dataset_name": "Dataset042_ULS23",
        "experiment_planner_used": "ExperimentPlanner",
        "image_reader_writer": "SimpleITKIO",
        "original_median_spacing_after_transp": [
            1.5,
            0.7949219942092896,
            0.7949219942092896
        ],
        "plans_name": "nnsslPlans",
        "transpose_backward": [
            0,
            1,
            2
        ],
        "transpose_forward": [
            0,
            1,
            2
        ]
    },
    "recommended_downstream_patchsize": [
        160,
        160,
        160
    ]
}