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Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer.

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Title: Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer.
Authors: Schirris Y; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands; Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Voorthuis R; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Opdam M; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Liefaard M; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Sonke GS; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands., Dackus G; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., de Jong V; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Wang Y; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Van Rossum A; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands., Steenbruggen TG; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands., Steggink LC; Department of Medical Oncology, Erasmus University Medical Center, Rotterdam, Netherlands., de Vries EGE; Department of Medical Oncology, University Medical Center Groningen, Groningen, Netherlands., van de Vijver M; Department of Pathology, The Amsterdam University Medical Centre, The University of Amsterdam, Amsterdam, Netherlands., Salgado R; Department of Pathology, ZAS Hospitals, Antwerp, Belgium; Division of Research, Peter MacCallum Centre, Melbourne, VIC, Australia., Gavves E; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands., van Diest PJ; Division of Pathology, University Medical Center Utrecht, Utrecht, Netherlands., Linn SC; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands; Division of Pathology, University Medical Center Utrecht, Utrecht, Netherlands., Teuwen J; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands; AI for Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands., Menezes R; Biostatistics Centre, Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands., Kok M; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Tumour Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands., Horlings HM; Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands. Electronic address: h.horlings@nki.nl.
Source: The Lancet. Digital health [Lancet Digit Health] 2025 Nov; Vol. 7 (11), pp. 100921. Date of Electronic Publication: 2025 Dec 10.
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer.
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  Data: <searchLink fieldCode="AU" term="%22Schirris+Y%22">Schirris Y</searchLink>; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands; Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Voorthuis+R%22">Voorthuis R</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Opdam+M%22">Opdam M</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Liefaard+M%22">Liefaard M</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Sonke+GS%22">Sonke GS</searchLink>; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Dackus+G%22">Dackus G</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22de+Jong+V%22">de Jong V</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Van+Rossum+A%22">Van Rossum A</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Steenbruggen+TG%22">Steenbruggen TG</searchLink>; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Steggink+LC%22">Steggink LC</searchLink>; Department of Medical Oncology, Erasmus University Medical Center, Rotterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22de+Vries+EGE%22">de Vries EGE</searchLink>; Department of Medical Oncology, University Medical Center Groningen, Groningen, Netherlands.<br /><searchLink fieldCode="AU" term="%22van+de+Vijver+M%22">van de Vijver M</searchLink>; Department of Pathology, The Amsterdam University Medical Centre, The University of Amsterdam, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Salgado+R%22">Salgado R</searchLink>; Department of Pathology, ZAS Hospitals, Antwerp, Belgium; Division of Research, Peter MacCallum Centre, Melbourne, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Gavves+E%22">Gavves E</searchLink>; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Diest+PJ%22">van Diest PJ</searchLink>; Division of Pathology, University Medical Center Utrecht, Utrecht, Netherlands.<br /><searchLink fieldCode="AU" term="%22Linn+SC%22">Linn SC</searchLink>; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands; Division of Pathology, University Medical Center Utrecht, Utrecht, Netherlands.<br /><searchLink fieldCode="AU" term="%22Teuwen+J%22">Teuwen J</searchLink>; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands; AI for Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Menezes+R%22">Menezes R</searchLink>; Biostatistics Centre, Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Kok+M%22">Kok M</searchLink>; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Tumour Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands.<br /><searchLink fieldCode="AU" term="%22Horlings+HM%22">Horlings HM</searchLink>; Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands. Electronic address: h.horlings@nki.nl.
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  Data: <searchLink fieldCode="JN" term="%22101751302%22">The Lancet. Digital health</searchLink> [Lancet Digit Health] 2025 Nov; Vol. 7 (11), pp. 100921. <i>Date of Electronic Publication: </i>2025 Dec 10.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101751302 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-7500 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225897500%22">25897500 </searchLink><i>NLM ISO Abbreviation: </i>Lancet Digit Health <i>Subsets: </i>MEDLINE
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