Update README.md

README.md

@@ -6,7 +6,7 @@ license: mit
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-[Preprint](https://arxiv.org/abs/2412.13126) | [Github](https://github.com/MAGIC-AI4Med/KEEP) | [Webpage](https://loiesun.github.io/keep/) | [Cite](##Citation)
+[Preprint](https://arxiv.org/abs/2412.13126) | [Github](https://github.com/MAGIC-AI4Med/KEEP) | [Webpage](https://loiesun.github.io/keep/) | [Cite](#citation)
 
 **KEEP** (**K**nowledg**E**-**E**nhanced **P**athology) is a foundation model designed for cancer diagnosis that integrates disease knowledge into vision-language pre-training. It utilizes a comprehensive disease knowledge graph (KG) containing 11,454 human diseases and 139,143 disease attributes, such as synonyms, definitions, and hierarchical relationships. KEEP reorganizes millions of publicly available noisy pathology image-text pairs into 143K well-structured semantic groups based on the hierarchical relations of the disease KG. By incorporating disease knowledge into the alignment process, KEEP achieves more nuanced image and text representations. The model is validated on 18 diverse benchmarks with over 14,000 whole-slide images (WSIs), demonstrating state-of-the-art performance in zero-shot cancer diagnosis, including an average sensitivity of 89.8% for cancer detection across 7 cancer types. KEEP also excels in subtyping rare cancers, achieving strong generalizability in diagnosing rare tumor subtypes.
 
@@ -121,10 +121,11 @@ Validated on 18 diverse benchmarks with more than 14,000 whole slide images (WSI
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
-
+```
 @article{zhou2024keep,
   title={A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis},
   author={Xiao Zhou, Luoyi Sun, Dexuan He, Wenbin Guan, Ruifen Wang, Lifeng Wang, Xin Sun, Kun Sun, Ya Zhang, Yanfeng Wang, Weidi Xie},
   journal={arXiv preprint arXiv:2412.13126},
   year={2024}
 }
+```