Update task categories, add paper link, and improve citation

README.md

@@ -1,16 +1,19 @@
 ---
 license: cc0-1.0
+size_categories:
+- 1K<n<10K
 task_categories:
-- image-classification
+- object-detection
 - image-segmentation
+pretty_name: T-SYNTH
 tags:
 - medical
-pretty_name: T-SYNTH
-size_categories:
-- 1K<n<10K
 ---
+
 # T-SYNTH
 
+Paper: [T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images](https://huggingface.co/papers/2507.04038)
+
 <!-- Provide a quick summary of the dataset. -->
 
 T-SYNTH is a synthetic digital breast tomosynthesis (DBT) dataset with four breast fibroglandular density distributions imaged using Monte Carlo x-ray simulations with the publicly available [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://github.com/DIDSR/VICTRE) toolkit.
@@ -115,19 +118,20 @@ The description how to use it could be found [here](https://github.com/DIDSR/tsy
 
 ## Citation
 
-```
+```bibtex
 @article{t-synth,
   title={T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images},
   author={Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel Lago, Jana G. Delfino, Aldo Badano},
   journal={},
   volume={},
   pages={},
-  year={2025}
+  year={2025},
+  url={https://huggingface.co/papers/2507.04038}
 }
 ```
 
 ## Related Links
 1. [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://cdrh-rst.fda.gov/victre-silico-breast-imaging-pipeline).
 2. [M-SYNTH: A Dataset for the Comparative Evaluation of Mammography AI](https://cdrh-rst.fda.gov/m-synth-dataset-comparative-evaluation-mammography-ai).
-6. A. Kim*, N. Saharkhiz*, E. Sizikova*, M. Lago, B. Sahiner, J. G. Delfino, A. Badano. [S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images](https://github.com/DIDSR/ssynth-release). MICCAI 2024.
-4. [FDA Catalog of Regulatory Science Tools to Help Assess New Medical Devices](https://www.fda.gov/medical-devices/science-and-research-medical-devices/catalog-regulatory-science-tools-help-assess-new-medical-devices).
+3. A. Kim*, N. Saharkhiz*, E. Sizikova*, M. Lago, B. Sahiner, J. G. Delfino, A. Badano. [S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images](https://github.com/DIDSR/ssynth-release). MICCAI 2024.
+4. [FDA Catalog of Regulatory Science Tools to Help Assess New Medical Devices](https://www.fda.gov/medical-devices/science-and-research-medical-devices/catalog-regulatory-science-tools-help-assess-new-medical-devices).