Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.

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Title: Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.
Authors: Saldanha OL; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Loeffler CML; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Niehues JM; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., van Treeck M; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Seraphin TP; Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Duesseldorf, Medical Faculty at Heinrich-Heine-University Duesseldorf, Düsseldorf, Germany., Hewitt KJ; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Cifci D; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Veldhuizen GP; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Ramesh S; Pritzker School of Medicine, University of Chicago, Chicago, IL, USA., Pearson AT; Biological Sciences Division, University of Chicago, Chicago, IL, USA.; University of Chicago Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA., Kather JN; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany. jakob_nikolas.kather@tu-dresden.de.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany. jakob_nikolas.kather@tu-dresden.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. jakob_nikolas.kather@tu-dresden.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. jakob_nikolas.kather@tu-dresden.de.; Department of Medicine 1, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany. jakob_nikolas.kather@tu-dresden.de.
Source: NPJ precision oncology [NPJ Precis Oncol] 2023 Mar 28; Vol. 7 (1), pp. 35. Date of Electronic Publication: 2023 Mar 28.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2397-768X
DOI:10.1038/s41698-023-00365-0