Update README.md

README.md

@@ -1,6 +1,12 @@
+---
+license: cc-by-3.0
+tags:
+- medical
+---
+
 # The Cancer Genome Atlas Ovarian Cancer (NSCLC-Radiomics)
 
-The models featured in this repository uses images from the publically available [NSCLC-Radiomics](https://wiki.cancerimagingarchive.net/display/Public/NSCLC-Radiomics) Dataset. 
+The models featured in this repository uses images from the publicly available [NSCLC-Radiomics](https://wiki.cancerimagingarchive.net/display/Public/NSCLC-Radiomics) Dataset. 
 
 Download the data from TCIA with **Descriptive Directory Name** download option.
 
@@ -8,7 +14,7 @@ Download the data from TCIA with **Descriptive Directory Name** download option.
 
 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:
 
-```python
+```shell
 user@machine:~/NSCLC-Radiomics-NIFTI$ python convert.py
 ```
 
@@ -65,4 +71,4 @@ TCIA Citation
   The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository,
   Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057.
   https://doi.org/10.1007/s10278-013-9622-7
-```
+```