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Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology

  • Published:2023-04-18 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
  • language:
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Author:

Wilm Frauke1,Fragoso Marco2,Bertram Christof A.3,Stathonikos Nikolas4,Öttl Mathias1,Qiu Jingna5,Klopfleisch Robert2,Maier Andreas1,Aubreville Marc6,Breininger Katharina5

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg,Pattern Recognition Lab,Germany

2. Freie Universität Berlin,Institute of Veterinary Pathology,Germany

3. University of Veterinary Medicine,Institute of Pathology,Vienna,Austria

4. University Medical Centre Utrecht,Pathology Department,The Netherlands

5. Friedrich-Alexander-Universität Erlangen-Nürnberg,Department AIBE,Germany

6. Technische Hochschule Ingolstadt,Ingolstadt,Germany

Funder

Health

Publisher

IEEE

Reference19 articles.

1. Robust quad-tree based registration on whole slide images;marzahl;Workshop on Computational Pathology MICCAI,2021

2. SlideRunner

3. ImageNet Large Scale Visual Recognition Challenge

4. Deep Residual Learning for Image Recognition

5. CAnine CuTaneous Cancer Histology dataset (version 1);wilm;The Cancer Imaging Archive,2022

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