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# Data format for Inference |
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The data format for inference must match the one used for the raw data (specifically, the images must be in exactly |
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the same format as in the imagesTr folder). As before, the filenames must start with a |
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unique identifier, followed by a 4-digit modality identifier. Here is an example for two different datasets: |
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1) Task005_Prostate: |
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This task has 2 modalities, so the files in the input folder must look like this: |
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input_folder |
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βββ prostate_03_0000.nii.gz |
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βββ prostate_03_0001.nii.gz |
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βββ prostate_05_0000.nii.gz |
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βββ prostate_05_0001.nii.gz |
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βββ prostate_08_0000.nii.gz |
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βββ prostate_08_0001.nii.gz |
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βββ ... |
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_0000 is always the T2 image and _0001 is always the ADC image (as specified by 'modality' in the dataset.json) |
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2) Task002_Heart: |
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imagesTs |
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βββ la_001_0000.nii.gz |
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βββ la_002_0000.nii.gz |
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βββ la_006_0000.nii.gz |
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βββ ... |
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Task002 only has one modality, so each case only has one _0000.nii.gz file. |
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The segmentations in the output folder will be named INDENTIFIER.nii.gz (omitting the modality identifier). |
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