CHIME develops methodology and models for histopathology assessment with the aim to improve the precision in cancer diagnosis. We use large-scale studies and modern machine learning methodologies to explore the boundaries of image-based diagnostics.

 

CHIME currently includes studies in the areas of breast, prostate and colorectal cancer.

Contact

Mattias Rantalainen, PhD

mattias.rantalainen@ki.se

https://ki.se/en/people/matran

 

Department of Medical Epidemiology and Biostatistics (MEB)

Karolinska Institute

Stockholm, Sweden

 

Supported by

The Swedish Cancer Foundation

The Swedish Research Council

Karolinska Institutet