Oncological reporting of thorax-abdomen CT scans

Radiology departments make large amounts of CT scans of the abdomen and the thorax. Reporting those scans is time-consuming and difficult. We develop tools to speed up and improve this process.

Funding

EFRO Oost-Nederland

People

Bram van Ginneken

Bram van Ginneken

Professor, Scientific Co-Director

Matthieu Rutten

Matthieu Rutten

Associate Professor, Radiologist

Luuk Boulogne

Luuk Boulogne

PhD Candidate

Alessa Hering

Alessa Hering

Assistant Professor

Ernst Scholten

Ernst Scholten

Senior Researcher

Publications

  • G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans", Physics in Medicine and Biology, 2018;63(8):085003.
  • G. Humpire Mamani, J. Bukala, E. Scholten, M. Prokop, B. van Ginneken and C. Jacobs, "Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning", Radiology: Artificial Intelligence, 2020;2(4):e190102.