FWL-Medical Image and Health Informatics Lab

Ph.D. Student

Wenli Fu

2021-Present

Pancreatic Cancer Surgery Planning
Stable Analysis in Medical Image

School of Biomedical Engineering
Shanghai Jiao Tong University
Room 409, Med-X Research Institute
1954 Hua Shan Road, Shanghai, China

Research Interests

My primary focus is on developing intelligent surgical planning models for complex tiny organs (such as pancreatic cancer), where the key challenge lies in the stable analysis of complex tiny organs images. To address this challenge, my research involves fine-grained learning, generalization learning, and stable learning.

Brief Biography

Ph.D. student, 2021-Present, School of Biomedical Engineering, Shanghai Jiao Tong University, China.

B.S., 2017-2021, School of Biomedical Engineering, Shanghai Jiao Tong University, China.

Current Research Topics

Pancreatic Cancer Surgery Planning assessment of Parkinson’s disease
Pancreatic cancer, known as the "king of cancers," has a 5-year survival rate of less than 8%. The main reasons include the difficulty in assessing preoperative risk factors and the challenge of achieving clear tumor margins during surgery (with a negative margin rate of only 15-24%), leading to a severe postoperative recurrence rate (>90%). To enhance the safety of surgery and improve long-term treatment outcomes, there is an urgent need for a precise surgical planning method for pancreatic cancer that integrates preoperative non-invasive risk assessment and three-dimensional visualization. Currently, I have achieved peripancreatic vessel segmentation (TMI, 2024) and lymph node metastasis prediction (Int. J. Surg. 2023).