After two years of hard work, the final results of PANDA Challenge on AI for prostate cancer grading are published! Read more →
Diagnostic Image Analysis Group
The Diagnostic Image Analysis Group is part of the Departments of Imaging, Pathology, Ophthalmology, and Radiation Oncology of Radboud University Medical Center. We develop computer algorithms to interpret and process medical images.
The latest work by Natália Alves, titled “Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography”, has been published in Cancers' special issue on Pancreatic Cancer: Pathogenesis, Early Diagnosis, and Management for Improved Survival. Read more →
The European Research Council awarded Geert Litjens with a grant for his project "AIS-CaP: Interpretable Artificial Intelligence across Scales for Next-Generation Cancer Prognostics". Read more →
The Dutch Cancer Society awarded Colin Jacobs with a grant for his research project entitled "AMARA: Accurate MAlignancy Risk estimation of incidentally and screen-detected pulmonary nodules using Artificial intelligence". Read more →
Vacancies & Student projects
Project aimed at development of deep learning algorithms for automated detection developmental hip dysplasia.