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# The Cancer Genome Atlas Ovarian Cancer (NSCLC-Radiomics)
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The models featured in this repository uses images from the publically available [NSCLC-Radiomics](https://wiki.cancerimagingarchive.net/display/Public/NSCLC-Radiomics) Dataset.
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## Segmentations
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# The Cancer Genome Atlas Ovarian Cancer (NSCLC-Radiomics)
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The models featured in this repository uses images from the publically available [NSCLC-Radiomics](https://wiki.cancerimagingarchive.net/display/Public/NSCLC-Radiomics) Dataset.
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Download the data from TCIA with **Descriptive Directory Name** download option.
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## Converting Format
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Convert DICOM images and segmentation to NIFTI format using [pydicom](https://pydicom.github.io/) and [pydicom-seg](https://razorx89.github.io/pydicom-seg/guides/read.html). Run:
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```python
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user@machine:~/NSCLC-Radiomics-NIFTI$ python convert_segm.py
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```
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## Segmentations
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