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.
Tumor-Stroma Ratio
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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.
- 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.