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farrell236/
NSCLC-Radiomics-NIFTI

cc-by-3.0

medical

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The Cancer Genome Atlas Ovarian Cancer (NSCLC-Radiomics)

The models featured in this repository uses images from the publicly available NSCLC-Radiomics Dataset. Download the data from TCIA with Classic Directory Name download option.

Converting Format

Convert DICOM images and segmentation to NIFTI format using SimpleITK, pydicom and pydicom-seg. Run: user@machine:~/NSCLC-Radiomics-NIFTI$ python convert.py

Segmentations

Images will have one of the following… See the full description on the dataset page: https://huggingface.co/datasets/farrell236/NSCLC-Radiomics-NIFTI.