Speaker
Anja Witte
(Institute of Medical Systems Bioinformatics, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany)
Description
Prostate cancer relapse prediction is a challenging task within computational pathology as tissue preparation and digitization are not standardized. The different protocols lead to domain shifts, against which a deep learning model must be robust and focus on biological information rather than variations in appearance. We address this challenge through the usage of vision foundation models that are pre-trained on large and diverse pathology datasets. Six different models are fine-tuned and evaluated on a histopathology dataset that includes multi-domain prostate cancer images on patient-level. The comparison shows that larger models are in general superior and that robustness varies depending on the vision foundation model and the domain.
| I want to give a Lightning Talk | yes |
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Author
Anja Witte
(Institute of Medical Systems Bioinformatics, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany)
Co-authors
Guido Sauter
(Department of Pathology, University Center Hamburg-Eppendorf, Hamburg, Germany)
Jan Baumbach
(Department of Computational Systems Biology, University of Hamburg, Hamburg, Germany; Computational Biomedicine Lab, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark)
Jens J. G. Lohmann
(Department of Computational Systems Biology, University of Hamburg, Hamburg, Germany;)
Marina Zimmermann
(Institute of Medical Systems Bioinformatics, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany)
Patrick Fuhlert
(Institute of Medical Systems Bioinformatics, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Spearpoint Analytics AB, Stockholm, Sweden)
Stefan Bonn
(Institute of Medical Systems Bioinformatics, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Spearpoint Analytics AB, Stockholm, Sweden)
