soorena62
26 lines
1.1 KiB
XML
26 lines
1.1 KiB
XML
<tool id="radiuma_radiomics" name="Radiomics Feature Extractor" version="1.0.0">
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<description>Extract IBSI-compliant radiomics features using PySERA</description>
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<command>
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python3 $__tool_directory__/run_radiomics.py
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--image $image
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--mask $mask
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--output $output.extra_files_path
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--categories "$categories"
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--dimensions "$dimensions"
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--apply_preprocessing "$apply_preprocessing"
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</command>
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<inputs>
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<param name="image" type="data" format="nii" label="Input Image"/>
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<param name="mask" type="data" format="nii" label="Segmentation Mask"/>
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<param name="categories" type="text" value="glcm, glrlm" label="Feature Categories"/>
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<param name="dimensions" type="text" value="1st, 2_5d, 3d" label="Spatial Dimensions"/>
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<param name="apply_preprocessing" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Apply Preprocessing"/>
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</inputs>
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<outputs>
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<data name="output" format="csv" label="Extracted Radiomics Features" from_work_dir="radiomics_features.csv"/>
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</outputs>
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<help>
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This tool extracts handcrafted radiomics features from medical images using the PySERA library.
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</help>
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</tool>
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