Tumor-Stroma Ratio

Tumour-stroma ratio (TSR) is an independent prognostic factor in colorectal cancer and other solid malignancies. Digital pathology holds opportunities for automated TSR analysis. The aim of this projects is to investigate the potential of computer-aided quantification of intratumoural stroma in H&E stained colorectal cancer whole-slide images using deep learning.

TSR

People

Jeroen van der Laak

Jeroen van der Laak

Associate Professor

Francesco Ciompi

Francesco Ciompi

Assistant Professor

Oscar Geessink

Oscar Geessink

PhD Candidate

Publications

  • F. Ciompi, O. Geessink, B. Bejnordi, G. de Souza, A. Baidoshvili, G. Litjens, B. van Ginneken, I. Nagtegaal and J. van der Laak, "The importance of stain normalization in colorectal tissue classification with convolutional networks", IEEE International Symposium on Biomedical Imaging, 2017:160-163. Abstract/PDF DOI Cited by ~75
  • O. Geessink, A. Baidoshvili, J. Klaase, B. Ehteshami Bejnordi, G. Litjens, G. van Pelt, W. Mesker, I. Nagtegaal, F. Ciompi and J. van der Laak, "Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer", Cellular Oncology, 2019:1-11. Abstract/PDF DOI PMID Cited by ~8