People Jeroen van der Laak Computational pathology group

Novel medical image analysis methods based on deep learning technology

The Computational pathology group develops, validates and deploys novel medical image analysis methods based on deep learning technology and focusing on computer-aided diagnosis. Application areas include diagnostics and prognostics of breast, prostate and colon cancer.

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Novel medical image analysis methods based on deep learning technology

The Computational pathology group develops, validates and deploys novel medical image analysis methods based on deep learning technology and focusing on computer-aided diagnosis. Application areas include diagnostics and prognostics of breast, prostate and colon cancer.

We have rapidly expanded over the last few years, counting over 15 people today. Our group is among the international front runners in the field, witnessed for instance by our highly successful CAMELYON challenges. We have a strong translational focus, facilitated by our close collaboration with clinicians and industry.

Research group leader

Jeroen van der Laak PhD

+31 (0)24 369 31 62
contact

Team

Radboud Institute for Health Sciences

Ideally, every procedure in clinical practice and public health should take place based on proof, instead of intuition or 'experience'. Our aim is to innovate and personalize healthcare and public health. read more