Computational pathology

Peter J. Schüffler, Qing Zhong, Peter J. Wild, Thomas J. Fuchs

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations


Computational pathology offers a comprehensive framework for advanced study design in a wide range of research questions, as well as for standardized pipeline development for fast and reproducible computer-assisted routine diagnostics. This new field emerges at the border of pathology and computer science and shows high potential to revolutionize established workflows in research and clinic, since not only computational models get faster and more efficient than before but also since an incredible amount of training data is being generated in modern hospitals which is mandatory for the training of informed and validated models. We review the field of computational pathology and illustrate on two research examples how it will contribute to an accurate, objective, and reproducible study design comprising informed data acquisition, advanced pattern recognition, and transparent model validation.

Original languageEnglish
Title of host publicationMechanisms of Molecular Carcinogenesis
PublisherSpringer International Publishing
Number of pages17
ISBN (Electronic)9783319536613
ISBN (Print)9783319536606
StatePublished - 22 May 2017
Externally publishedYes


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