A deep learning framework for efficient pathology image analysis.

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Title: A deep learning framework for efficient pathology image analysis.
Authors: Neidlinger P; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Lenz T; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Foersch S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany., Loeffler CML; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany., Clusmann J; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Gustav M; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Shaktah LA; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Langer R; Institute of Pathology and Molecular Pathology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria., Dislich B; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Boardman LA; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA., French AJ; Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA., Goode EL; Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA., Gsur A; Center for Cancer Research, Medical University of Vienna, Vienna, Austria., Brezina S; Center for Cancer Research, Medical University of Vienna, Vienna, Austria., Gunter MJ; Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.; Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, UK., Steinfelder R; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA., Behrens HM; Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany., Röcken C; Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany., Harrison T; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.; Department of Epidemiology, University of Washington, Seattle, WA, USA., Peters U; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.; Department of Epidemiology, University of Washington, Seattle, WA, USA., Phipps AI; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.; Department of Epidemiology, University of Washington, Seattle, WA, USA., Curigliano G; Division of New Drugs and Early Drug Development, European Institute of Oncology IRCCS, Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy., Fusco N; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy., Marra A; Division of New Drugs and Early Drug Development, European Institute of Oncology IRCCS, Milan, Italy., Hoffmeister M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany., Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. jakob-nikolas.kather@alumni.dkfz.de.
Source: Nature communications [Nat Commun] 2026 Jul 01; Vol. 17 (1). Date of Electronic Publication: 2026 Jul 01.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2041-1723
DOI:10.1038/s41467-026-74918-9