Prediction of recurrence risk in endometrial cancer with multimodal deep learning.

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Title: Prediction of recurrence risk in endometrial cancer with multimodal deep learning.
Authors: Volinsky-Fremond S; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands., Horeweg N; Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands., Andani S; Department of Computer Science, ETH Zurich, Zurich, Switzerland.; Department of Pathology and Molecular Pathology, University Hospital, University of Zurich, Zurich, Switzerland.; Swiss Institute of Bioinformatics, Lausanne, Switzerland., Barkey Wolf J; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands., Lafarge MW; Department of Pathology and Molecular Pathology, University Hospital, University of Zurich, Zurich, Switzerland., de Kroon CD; Department of Gynecology and Obstetrics, Leiden University Medical Center, Leiden, The Netherlands., Ørtoft G; Department of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Høgdall E; Department of Pathology, Herlev University Hospital, Herlev, Denmark., Dijkstra J; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., Jobsen JJ; Department of Radiation Oncology, Medisch Spectrum Twente, Enschede, The Netherlands., Lutgens LCHW; Maastricht Radiation Oncology, MAASTRO, Maastricht, The Netherlands., Powell ME; Department of Clinical Oncology, Barts Health NHS Trust, London, UK., Mileshkin LR; Department of Medical Oncology, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia., Mackay H; Department of Medical Oncology and Hematology, Odette Cancer Center Sunnybrook Health Sciences Center, Toronto, Ontario, Canada., Leary A; Department Medical Oncology, Gustave Roussy Institute, Villejuif, France., Katsaros D; Department of Surgical Sciences, Gynecologic Oncology, Città della Salute and S Anna Hospital, University of Turin, Turin, Italy., Nijman HW; Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., de Boer SM; Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands., Nout RA; Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands., de Bruyn M; Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., Church D; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.; Oxford NIHR Comprehensive Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK., Smit VTHBM; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands., Creutzberg CL; Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands., Koelzer VH; Department of Pathology and Molecular Pathology, University Hospital, University of Zurich, Zurich, Switzerland.; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland., Bosse T; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands. t.bosse@lumc.nl.
Source: Nature medicine [Nat Med] 2024 Jul; Vol. 30 (7), pp. 1962-1973. Date of Electronic Publication: 2024 May 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-170X
DOI:10.1038/s41591-024-02993-w