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Deep learning-based segmentation of multisite disease in ovarian cancer.

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第一作者: Thomas,Buddenkotte
第一单位: Department, of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.;Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany.;jung diagnostics GmbH, Hamburg, Germany.
作者单位: Department, of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.;Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany.;jung diagnostics GmbH, Hamburg, Germany. [1] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy. [2] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Department of Medicine, Danube Private University, Krems, Austria. [3] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK. [4] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria. [5] Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.;Department of Oncology, University of Cambridge, Cambridge, UK. [6] Department, of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK. [7] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Department of Radiology and Medical Imaging, County Clinical Emergency Hospital, Cluj-Napoca-Napoca, Romania. [8] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Department of Radiology, Tepecik Training and Research Hospital, Izmir, Turkey. [9] Department of Radiology and Medical Imaging, County Clinical Emergency Hospital, Cluj-Napoca-Napoca, Romania.;Department of Radiology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca-Napoca, Romania. [10] Department of Medical-Surgical and Translational Medicine-Radiology Unit, Sapienza University of Rome, Sant'Andrea Hospital, Rome, Italy. [11] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. [12] Department of Clinical Pathology, Barts Health NHS Trust, London, UK. [13] Department of Radiology, Barts Health NHS Trust, London, UK. [14] Duke University Medical Center, Durham, NC, USA. [15] Departmant of Obstetrics and Gynecology, Division of Gynecologic Oncology, Ohio State University Comprehensive Cancer Center, Ohio State University College of Medicine, Columbus, OH, USA. [16] Department of Obstetrics and Gynecology, Gynecologic Cancer Center of Excellence, Walter Reed National Military Medical Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.;The John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Uniformed Services University, Bethesda, MD, USA. [17] Department of Obstetrics and Gynecology, Gynecologic Cancer Center of Excellence, Walter Reed National Military Medical Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.;The John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Uniformed Services University, Bethesda, MD, USA.;Department of Obstetrics and Gynecology, Inova Fairfax Medical Campus, Falls Church, VA, USA.;Inova Center for Personalized Health, Inova Schar Cancer Institute, Falls Church, VA, USA. [18] Department of Obstetrics and Gynecology, Gynecologic Cancer Center of Excellence, Walter Reed National Military Medical Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.;The John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Uniformed Services University, Bethesda, MD, USA.;Department of Obstetrics and Gynecology, Inova Fairfax Medical Campus, Falls Church, VA, USA. [19] Cancer Imaging Informatics Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA. [20] Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden. [21] Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.;Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK. [22] Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. evis.sala@policlinicogemelli.it.;Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK. evis.sala@policlinicogemelli.it.;Dipartimento Di Scienze Radiologiche Ed Ematologiche, Universita Cattolica del Sacro Cuore, Rome, Italy. evis.sala@policlinicogemelli.it.;Dipartimento Diagnostica Per Immagini, Radioterapia Oncologica Ed Ematologia, Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. evis.sala@policlinicogemelli.it. [23]
DOI 10.1186/s41747-023-00388-z
PMID 38057616
发布时间 2025-05-30
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European radiology experimental

European radiology experimental

2023年7卷1期

77页

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