The Aachen Protocol for Deep Learning Histopathology: A hands-on guide for data preprocessing

Zenodo (CERN European Organization for Nuclear Research)

Abstract

Background: Deep learning can predict clinically relevant features such as genetic alterations directly from H&E stained histology images. In practice, many clinically relevant questions are limited by availability of clinical data and by the lack of standardized preprocessing pipelines. In our research projects, we strive to keep a consistent data format across projects to facilitate downstream analysis. Workflow: We analyze cohorts of cancer patients and try to predict clinically relevant labels directly from whole slide images (WSI). To achieve this, we manually or automatically detect tumor tissue in the WSI, tessellate the tumor into smaller image tiles and store these tiles in a cohort directory (Figure 1). We prepare a Slide Master Table, specifying which WSI belongs to which patient and a Patient Master Table, specifying the labels (target categories) for each patient. Our publicly available scripts automate the remaining workflow: Tiles are loaded, are matched to WSIs, which are matched to patients, which are matched to labels. Deep neural networks are trained to predict the labels and are evaluated on external cohorts. Target audience: This is a best practice manual focused on practical aspects such as file names, ground truth data tables and ROI annotation. This document is intended for onboarding new team members and for our academic collaborators. We hope that beyond our teams, this consensus document might be useful for other groups in the deep learning histopathology community. Our data standards are is inspired by The Cancer Genome Atlas (TCGA) standards (http://portal.gdc.cancer.gov). Please give your feedback on http://kather.ai.

Authors 14

1. Hannah Sophie Muti Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

2. Chiara Maria Lavinia Loeffler Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

3. Amelie Echle Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

4. Lara Rosaline Heij Aachen Visceral and Transplant Surgery

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Visceral and Transplant Surgery, University Hospital RWTH Aachen, Aachen, Germany

5. Roman David Buelow Aachen Institute of Pathology

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany

6. Jeremias Krause Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

7. Laura Broderius Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

8. Jan Niehues Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

9. G. Liapi Aachen Department of Medicine III

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

10. Peter Boor Aachen Institute of Pathology

    Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany

11. Heike Irmgard Grabsch

    Maastricht University Medical Centre · Maastricht University

    Affiliation as printed

    Pathology and GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands

12. Sara E. Kochanny

    University of Chicago

    Affiliation as printed

    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois, USA

13. Alexander T. Pearson

    University of Chicago

    Affiliation as printed

    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois, USA

14. Jakob Nikolas Kather Aachen Department of Medicine III

    Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany