Last month, Computational pathology group-members Francesco Ciompi and Jeroen van der Laak have been awarded 2 grants for performing cancer research based on deep learning techniques. Supported by funding of the European Union’s ICT12 H2020 program, Jeroen and Francesco will work together with a consortium of European partners on … Read more →
Computational Pathology Group
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.
Peter Bandi and Oscar Geessink, organizers of CAMELYON17, challenged participants to move from individual metastases detection (CAMELYON16) to classification of lymph node status on a patient level. Over 300 participants registered on the challenge website, of which 23 teams submitted a total of 37 algorithms before the deadline. The algorithmic … Read more →