Update README.md

README.md

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+# Automatic Personalized Impression Generation for PET Reports Using Large Language Models 📄✍
 
-**Task:** Automatic impression generation for PET reports
+<p align="center">
+  <a href="https://arxiv.org/pdf/1910.10683.pdf"><img src="https://img.shields.io/badge/Paper-ArXiv-blue.svg"></a>
+  <a href="https://github.com/xtie97/PET-Report-Summarization"><img src="https://img.shields.io/badge/GitHub-Repo-green.svg"></a>
+</p>
 
-**Paper:** [Automatic Personalized Impression Generation for PET Reports Using Large Language Models] (https://arxiv.org/pdf/1910.10683.pdf)
-
-**Authors:** *Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara Kelly, John Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw* 
+**Authored by**: Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara Kelly, John Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
 
 ### Abstract
 
@@ -15,6 +17,7 @@ Results: Of all evaluation metrics, domain-adapted BARTScore and PEGASUSScore sh
 
 Conclusion: Personalized impressions generated by PEGASUS were clinically useful, highlighting its potential to expedite PET reporting.
 
+[Read the full paper](https://arxiv.org/pdf/1910.10683.pdf)
 
 ### Uses