AI-based Testing of Cancer Registry System

his topic focuses on developing automated testing methods for cancer registration and support system at Cancer Registry of Norway.
Master

The project focuses on developing testing methods based on state-of-the-art artificial intelligence techniques such as deep neural networks, rule mining algorithms, and search algorithms to support cost-effective and optimized testing of continuously evolving cancer registration and support systems in Cancer Registry of Norway. The project will involve working with a real system, data, experts, developers, and testers at the cancer registry.

Goal

The goal is to enable test automation at the cancer registry of Norway.

Learning outcome

You will learn about test automation in a real-world application, applying AI techniques, and working in a professional environment.

Qualifications

Programming skills and familiarity with machine learning frameworks such as Pytorch and Keras is an added advantage.

Supervisors

  • Shaukat Ali
  • Tao Yue
  • Jan Nygård, Cancer Registry

Contact person