Oncology

Imaging plays an important role in basic cancer research, novel digital biomarker development, and disease diagnosis and management. For instance, on-going automated analysis of optical microscopy research aims to advance understanding of biological processes. Empowered by deep learning advances, the emerging area of digital pathology offers high potential impact on patient care.

Complementary research on radiology (CT, MRI, endoscopy) is developing tools for early cancer detection, radiation therapy planning, and disease monitoring. This theme closely links to multi-modal analysis methodology research and is supported through a strong collaborative network with an ambition to translate image analysis solutions into clinical settings.

 

| Jens Rittscher
| Konstantinos Kamnitsas
| Daniel Bulte