Esther Abels 1 , Liron Pantanowitz 2 , Famke Aeffner 3 , Mark D Zarella 4 , Jeroen van der Laak 5 , 6 , Marilyn M Bui 7 , Venkata NP Vemuri 8 , Anil V Parwani 9 , Jeff Gibbs 10 , Emmanuel Agosto‐Arroyo 7 , Andrew H Beck 11 , Cleopatra Kozlowski , 12
03 September 2019
In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated patient data to extract information. This review offers a historical perspective and describes the potential clinical benefits from research and applications in this field, as well as significant obstacles to adoption. Best practices for implementing computational pathology workflows are presented. These include infrastructure considerations, acquisition of training data, quality assessments, as well as regulatory, ethical, and cyber‐security concerns. Recommendations are provided for regulators, vendors, and computational pathology practitioners in order to facilitate progress in the field. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.