Yu-Shan Xue

Papers

1

Total Citations

7

H-Index

1

About

Dr. Yu-Shan Xue is a leading researcher at the intersection of artificial intelligence and gastrointestinal oncology, with a primary focus on deep learning applications for colorectal cancer diagnostics. Her most influential work, "Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging" (2021, 7 citations), addresses the critical challenge of early colorectal cancer detection—a disease with the second highest incidence of malignant tumors and the fourth leading cause of cancer deaths in China. Dr. Xue's major contribution lies in developing AI-driven methods that enhance the accuracy and efficiency of lesion identification across both endoscopic and pathological imaging modalities. By demonstrating how deep learning can improve early diagnosis, her research directly supports the goal of increasing five-year survival rates while reducing medical costs. Her work stands as a pivotal step toward integrating computational pathology into routine clinical practice, offering a scalable solution to one of the most pressing public health challenges in oncology.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago