Update README.md

README.md

@@ -1,5 +1,9 @@
 ---
-license: cc-by-3.0
+title: "TCGA-OV-AS Dataset"
+license: cc-by-nc-sa-4.0
+configs:
+- config_name: metadata
+  data_files: "metadata.csv"
 ---
 
 # The Cancer Genome Atlas Ovarian Cancer for Ascites Segmentation (TCGA-OV-AS)
@@ -25,3 +29,18 @@ Convert the DICOMs to NIFTI format using `dcm2niix` and `GNU parallel`.
 
 Patient clinical data can be downloaded from TCIA: [TCGA-OV Clinical Data.zip
 ](https://wiki.cancerimagingarchive.net/download/attachments/7569497/TCGA-OV%20Clinical%20Data%201516.zip?version=1&modificationDate=1452105785692&api=v2)
+
+## Citation
+
+If you find this repository helpful in your research, please consider citing [our paper](https://doi.org/10.1148/ryai.230601):
+
+```text
+@article{hou2024deep,
+  title={Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification},
+  author={Hou, Benjamin and Lee, Sung-Won and Lee, Jung-Min and Koh, Christopher and Xiao, Jing and Pickhardt, Perry J. and Summers, Ronald M.}
+  journal={Radiology: Artificial Intelligence},
+  pages={e230601},
+  year={2024},
+  publisher={Radiological Society of North America}
+}
+```