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.


Mattias Rantalainen, PhD


Department of Medical Epidemiology and Biostatistics (MEB)

Karolinska Institute

Stockholm, Sweden


Supported by

The Swedish Cancer Foundation

The Swedish Research Council

Karolinska Institutet