Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY.

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Bibliographic Details
Title: Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY.
Authors: Vanea C; Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK. claudia.vanea@wrh.ox.ac.uk.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. claudia.vanea@wrh.ox.ac.uk., Džigurski J; Institute of Genomics, University of Tartu, Tartu, Estonia., Rukins V; Institute of Genomics, University of Tartu, Tartu, Estonia., Dodi O; Faculty of Medicine, Hadassah Hebrew University Medical Center, Jerusalem, Israel., Siigur S; Department of Pathology, Tartu University Hospital, Tartu, Estonia., Salumäe L; Department of Pathology, Tartu University Hospital, Tartu, Estonia., Meir K; Department of Pathology, Hadassah Hebrew University Medical Center, Jerusalem, Israel., Parks WT; Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Canada., Hochner-Celnikier D; Faculty of Medicine, Hadassah Hebrew University Medical Center, Jerusalem, Israel., Fraser A; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK., Hochner H; Braun School of Public Health, Hebrew University of Jerusalem, Jerusalem, Israel., Laisk T; Institute of Genomics, University of Tartu, Tartu, Estonia., Ernst LM; Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, Chicago, USA.; Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, USA., Lindgren CM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.; Centre for Human Genetics, Nuffield Department, University of Oxford, Oxford, UK.; Broad Institute of Harvard and MIT, Cambridge, MA, USA.; Nuffield Department of Population Health Health, University of Oxford, Oxford, UK., Nellåker C; Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK. christoffer.nellaker@bdi.ox.ac.uk.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. christoffer.nellaker@bdi.ox.ac.uk.
Source: Nature communications [Nat Commun] 2024 Mar 28; Vol. 15 (1), pp. 2710. Date of Electronic Publication: 2024 Mar 28.
Publication Type: Journal Article
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
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