Expertise · Medical Image Analysis

Medical Image Analysis

AI-driven segmentation, classification and multimodal image analysis for diagnostics, therapy planning and clinical research.

Selected DFKI research projects

Mammography screening imagery analysed by AI in a DFKI research project.

Mammography screening

AI-assisted analysis of screening mammograms for early breast cancer detection.

3D segmentation of abdominal organs and vasculature from CT imaging.

3D organ & vessel segmentation

Multi-organ and vascular segmentation from CT for surgical and therapy planning.

Brain MRI slice with a segmented lesion from a DFKI neuro-imaging project.

Neuro-oncological MRI

Lesion detection and characterisation on brain MRI for neuro-oncology.

Research Focus

Scientific excellence applied to real-world healthcare.

DFKI research in medical image analysis combines deep learning, computer vision and clinical domain knowledge to interpret imaging data across modalities — supporting radiology, pathology, ophthalmology and surgical planning through validated methods.

Methods and capabilities

  • Semantic and instance segmentation
  • Lesion, structure and tissue classification
  • Multimodal image fusion (CT, MRI, ultrasound, histology)
  • Self-supervised and weakly-supervised learning
  • Uncertainty estimation and quality control
  • Evaluation and benchmarking on clinical datasets

Application areas

  • Radiology decision support
  • Digital pathology
  • Ophthalmic imaging
  • Surgical and therapy planning
  • Clinical research and cohort analysis

Engagements typically start with a feasibility study or joint research project — evaluating data, methods and impact before wider deployment.

Explore this research expertise with DFKI.

From feasibility studies to long-term research collaboration — start with a structured conversation about your challenge.