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Deep learning-based segmentation of multisite disease in ovarian cancer.
Buddenkotte, Thomas; Rundo, Leonardo; Woitek, Ramona; Escudero Sanchez, Lorena; Beer, Lucian; Crispin-Ortuzar, Mireia; Etmann, Christian; Mukherjee, Subhadip; Bura, Vlad; McCague, Cathal; Sahin, Hilal; Pintican, Roxana; Zerunian, Marta; Allajbeu, Iris; Singh, Naveena; Sahdev, Anju; Havrilesky, Laura; Cohn, David E; Bateman, Nicholas W; Conrads, Thomas P; Darcy, Kathleen M; Maxwell, G Larry; Freymann, John B; Öktem, Ozan; Brenton, James D; Sala, Evis; Schönlieb, Carola-Bibiane.
Affiliation
  • Buddenkotte T; Department, of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
  • Rundo L; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Woitek R; Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
  • Escudero Sanchez L; jung diagnostics GmbH, Hamburg, Germany.
  • Beer L; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Crispin-Ortuzar M; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • Etmann C; Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano, Italy.
  • Mukherjee S; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Bura V; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • McCague C; Department of Medicine, Danube Private University, Krems, Austria.
  • Sahin H; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Pintican R; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • Zerunian M; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Allajbeu I; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • Singh N; Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
  • Sahdev A; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • Havrilesky L; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
  • Cohn DE; Department of Oncology, University of Cambridge, Cambridge, UK.
  • Bateman NW; Department, of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
  • Conrads TP; Department, of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
  • Darcy KM; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Maxwell GL; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • Freymann JB; Department of Radiology and Medical Imaging, County Clinical Emergency Hospital, Cluj-Napoca-Napoca, Romania.
  • Öktem O; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Brenton JD; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
  • Sala E; Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Schönlieb CB; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
Eur Radiol Exp ; 7(1): 77, 2023 12 07.
Article de En | MEDLINE | ID: mdl-38057616
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Kystes de l'ovaire / Tumeurs de l'ovaire / Apprentissage profond Limites: Female / Humans Langue: En Journal: Eur Radiol Exp Année: 2023 Type de document: Article Pays d'affiliation: Royaume-Uni
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Kystes de l'ovaire / Tumeurs de l'ovaire / Apprentissage profond Limites: Female / Humans Langue: En Journal: Eur Radiol Exp Année: 2023 Type de document: Article Pays d'affiliation: Royaume-Uni