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Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slides.

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第一作者: Frederik,Marmé
第一单位: University Hospital Mannheim, Department of Obstetrics and Gynaecology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany and DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany.
作者单位: University Hospital Mannheim, Department of Obstetrics and Gynaecology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany and DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany. [1] Division of Digital Prevention, Diagnostics and Therapy Guidance, German Cancer Research Center (DKFZ), Heidelberg, Germany. [2] Division of Digital Prevention, Diagnostics and Therapy Guidance, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, University Heidelberg, Heidelberg, Germany. [3] Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University Hospital Cologne, Cologne, Nordrhein-Westfalen, Germany. [4] Ev. Kliniken Essen Mitte, Essen, and Arbeitsgemeinschaft Gynäkologische Onkologie (AGO) Studiengruppe, Germany. [5] Department of Histopathology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom; Department of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands. [6] IRCCS Azienda Ospedaliero-universitaria di Bologna, and MITO, Italy. [7] Clinica Universidad de Navarra, Madrid, and GEICO, Spain. [8] Centre Léon Bérard, Lyon, and GINECO, France. [9] Department of Women's Health, Tübingen University Hospital, Tübingen, Germany. [10] Department of Gynecology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. [11] Department of Pathology, Medical Faculty Mannheim of the University of Heidelberg, Heidelberg, Germany. [12] Institute of Human Genetics, Heidelberg University Hospital, Heidelberg Germany and German Cancer Consortium (DKTK), Heidelberg, Germany; Division of Translational Medical Oncology, German Cancer Research Center (DKFZ), Heidelbergg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany. [13] Association de Recherche sur les CAncers dont GYnécologiques (ARCAGY)-GINECO, Paris, France. [14] Division of Digital Prevention, Diagnostics and Therapy Guidance, German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address: titus.brinker@dkfz.de. [15]
DOI 10.1016/j.ejca.2024.115199
PMID 39742559
发布时间 2025-04-29
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European journal of cancer (Oxford, England : 1990)

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