Self-supervised deep learning for pan-cancer mutation prediction from histopathology
bioRxiv (Cold Spring Harbor Laboratory)
Abstract
Abstract The histopathological phenotype of tumors reflects the underlying genetic makeup. Deep learning can predict genetic alterations from tissue morphology, but it is unclear how well these predictions generalize to external datasets. Here, we present a deep learning pipeline based on self-supervised feature extraction which achieves a robust predictability of genetic alterations in two large multicentric datasets of seven tumor types.
Authors 11
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Düsseldorf University Hospital · Heinrich Heine University Düsseldorf
Affiliation as printed
Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Duesseldorf, Medical Faculty at Heinrich-Heine-University Duesseldorf, Düsseldorf, Germany.t
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
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Affiliation as printed
Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
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University of Chicago · University of Chicago Medicine Comprehensive Cancer Center
Affiliation as printed
Biological Sciences Division, University of Chicago, Chicago, IL, USA
University of Chicago Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA
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University of Leeds · University Hospital Heidelberg · National Center for Tumor Diseases · Universitätsklinikum Aachen · University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Department of Medicine 1, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
Pathology & Data Analytics, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, United Kingdom
Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
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