farrell236/NSCLC-Radiomics-NIFTI
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… See the full description on the dataset page: https://huggingface.co/datasets/farrell236/NSCLC-Radiomics-NIFTI.
| Author / organization | farrell236 |
|---|---|
| License (as declared) | cc-by-3.0 |
| Downloads | 5.1K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 5 May 2023 |
| Last updated at source | 17 January 2025 |
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- 16 Oct 2026 Description: 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. Conver → 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. Conver
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