Development of a Federated and Generalized Liver Tumor Segmentation SoftwareToolkit
Overview
Liver cancer is one of the leading causes of cancer death. To assist doctors in liver cancer diagnosis and treatment planning, an accurate and automatic liver tumor segmentation method is highly demanded in clinical practice. Our team has remarkable achievements in liver tumor segmentation over the past few years.
Commercialisation opportunities
Collaborative research
Problem addressed
Medical imaging contains private information and it is difficult to share the data among different hospitals, limiting the amount of data used for model development. Second, imaging in different clinical centers has large variations due to different data collection conditions, such as scanner vendors and imaging protocols.
Innovation
- A CT based software toolkit that can be applied in the real clinical centers for automatic liver tumor segmentation
Key impact
- Liver tumor segmentation accuracy >80%
Application
- A deep learning method to address the data sharing and domain differences problems for liver tumor segmentation
The Hong Kong University of Science and Technology (HKUST)
The Hong Kong University of Science and Technology (HKUST) (https://hkust.edu.hk/) is a world-class research intensive university that focuses on science, technology and business as well as humanities and social science. HKUST offers an international campus, and a holistic and interdisciplinary pedagogy to nurture well-rounded graduates with global vision, a strong entrepreneurial spirit and innovative thinking. Over 80% of our research work were rated “Internationally excellent” or “world leading” in the Research Assessment Exercise 2020 of Hong Kong’s University Grants Committee. We were ranked 3rd in Times Higher Education’s Young University Rankings 2022, and our graduates were ranked 23rd worldwide and among the best from universities from Asia in Global University Employability Survey 2021.
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