The VPH-PRISM (Virtual Physiological Human: Personalised Predictive Breast Cancer Therapy Through Integrated Tissue Micro-Structure Modeling) project aimed to increase our understanding of the presentation of breast cancer on different radiological modalities (ultrasound, mammography, MRI etc) by correlating these modalities to each other and to histopathology. The project was executed in an international consortium, in which Radboudumc acted as both a clinical and research site. Radboudumc research was performed within DIAG, both at the Radiology department and the Pathology department. The research that was performed within the Computational Pathology Group resulted in 5 publications in peer reviewed journals as well as numerous conference papers, and in the PhD thesis ‘Histopathological Diagnosis of Breast Cancer’ by Dr Babak Ehteshami Bejnordi. Technology was developed to automatically detect and characterize different types of breast lesions, as well as to normalize differences in stain appearance between different laboratories.



Jeroen van der Laak

Jeroen van der Laak

Associate professor/Group leader


  • B. Ehteshami Bejnordi, M. Mullooly, R.M. Pfeiffer, S. Fan, P.M. Vacek, D.L. Weaver, S. Herschorn, L.A. Brinton, B. van Ginneken, N. Karssemeijer, A.H. Beck, G.L. Gierach, J.A.W.M. van der Laak and M.E. Sherman. "Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies", Modern Pathology 2018;31(10):1502-1512. Abstract DOI PMID
  • B.E. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens and J. van der Laak. "Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images", Journal of Medical Imaging 2017;4:044504. Abstract DOI PMID
  • T. Mertzanidou, J.H. Hipwell, S. Reis, D.J. Hawkes, B.E. Bejnordi, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, M. Hermsen, P. Bult and R. Mann. "3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging", Medical Physics 2017;44:935-948. Abstract DOI
  • B. Ehteshami Bejnordi, M. Balkenhol, G. Litjens, R. Holland, P. Bult, N. Karssemeijer and J. van der Laak. "Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images", IEEE Transactions on Medical Imaging 2016;35(9):2141-2150. Abstract DOI URL PMID
  • B.E. Bejnordi, G. Litjens, N. Timofeeva, I. Otte-Holler, A. Homeyer, N. Karssemeijer and J. van der Laak. "Stain specific standardization of whole-slide histopathological images", IEEE Transactions on Medical Imaging 2016;35(2):404-415. Abstract DOI URL PMID