Pancreatic Cancer Surgery Planning
This 5-year project targets both the development of machine learning (ML) methodology and the extension of ML towards an urgent clinical challenge. Facebook Artificial Intelligence (AI) believes that adding shape into computer vision will be the next direction of major impact in data science.
This project will develop methodology for integrating shape models of human organs into ML solutions for medical image analysis. Such integration will open rooms for solving clinical challenges previously unaddressed by ML. In particular, this project will target the problem of diagnosis, treatment planning and treatment outcome modeling for pancreatic cancer.
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Pancreatic cancer is currently the 4th and projected to be the 2nd leading cause of cancer-related death in developed countries. Pancreatic cancer is often detected on late stages and the percentage of unsuccessful/exploratory tumor removal attempts can vary from 24% to 63% for different hospitals in European countries. This project applies machine learning solution for improving pancreatic cancer treatment. The particular aims are to automatically segment pancreatic tumor, pancreas subparts, and abdominal vasculature, improve cancer visualization and access the surgery success attempts. The project will also evaluate the benefits of augmenting pancreatic cancer surgery with other treatment modalities.
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Data science and artificial intelligence are important drivers in modern research and are essential for developing such areas as new climate solutions and pioneering health technologies. The Novo Nordisk Foundation has just awarded grants for the first 12 projects under its new major Data Science Initiative.
Researchers
Name | Title | Phone | |
---|---|---|---|
Bulat Ibragimov | Associate Professor - Promotion Programme | +4535328292 |
External members
Name | Title | Phone | |
---|---|---|---|
Test Testesen | PhD fellow | +45 353-20566 | |
Forsker Forskersen | Associate professor | +45 353-30148 |
Contact
Bulat Ibragimov
Professor
bulat@di.ku.dk
Funded by
Project: Leveraging Artificial Intelligence for Pancreatic Cancer Diagnosis, Treatment Planning and Treatment Outcome Prediction
Period: 2020-2025
Funding: Novo Nordisk Foundation's Data Science Investigator – Emerging 2020 programme: DKK 7.9 million