Automated Multi-Label PET-CT ROI and NHOC metric pipeline

Description

Performed automated Multi-Label PET-CT ROI and NHOC metric pipeline for paper "A novel 18F-FDG PET radiomics signature for non-small cell lung cancer prognostication"

Steps to reproduce

#Data processing order petdcmsort.py (in blocks) - for folder export (part 1) and CT D2N conversion (part 2) Slicer to convert into SUV (part 3) separatePET.py (part 4) roi2lesion to modify SUV ranges (part 5) Slicer for segmentation (part 6) roi2lesion to generation MTV masks (part 7) Back into Slicer for CT MTV30 and MTV40 (part 8) moveCTmasks.py (part 9) splitCTPET (part 10) datarun.py (part 11) renameRaw.py (part 12) Resampling (part 13) TexLab (part 14) #Catalogue of scripts analyze2nii.py (Not used) """ Original Author: Mitch Chen Run Script for Analyze75 to NIFTI conversion Version 1.0, 24.07.2023 License: Apache License, Version 2.0, January 2004 """ ctROIGen.py (Not used) """ Original Author: Mitch Chen Run Script for 1) PET to CT upsampling, 2) mask generator and 3) split into two folders Version 1.0, 25.07.2023 License: Apache License, Version 2.0, January 2004 """ ctRun.py (For Hardeep) """ Original Author: Mitch Chen Run Script for CT radiomics data curation Version 1.0, 24.07.2023 License: Apache License, Version 2.0, January 2004 """ dataRun.py """ Original Author: Mitch Chen Complete both PET and CT annulus and pp multi-labels Version 1.0, 17.07.2023 License: Apache License, Version 2.0, January 2004 """ dcm2nii.py (Not used) """ Original Author: Mitch Chen Run Script for DCM to NIFTI conversion Version 1.0, 28.07.2023 License: Apache License, Version 2.0, January 2004 """

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