Your browser doesn't support javascript.
loading
Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.
Nanaa, Muzna; Gupta, Vaishnavi O; Hickman, Sarah E; Allajbeu, Iris; Payne, Nicholas R; Arponen, Otso; Black, Richard; Huang, Yuan; Priest, Andrew N; Gilbert, Fiona J.
Afiliação
  • Nanaa M; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Gupta VO; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Hickman SE; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Allajbeu I; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Payne NR; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Arponen O; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Black R; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Huang Y; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Priest AN; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
  • Gilbert FJ; From the Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218, Level 5, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (M.N., V.O.G., S.E.H., I.A., N.R.P., O.A., Y.H., A.N.P., F.J.G.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Ho
Radiology ; 312(2): e232303, 2024 08.
Article em En | MEDLINE | ID: mdl-39189901
Assuntos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Inteligência Artificial / Mamografia / Sensibilidade e Especificidade / Detecção Precoce de Câncer Limite: Female / Humans / Middle aged Idioma: En Revista: Radiology Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Inteligência Artificial / Mamografia / Sensibilidade e Especificidade / Detecção Precoce de Câncer Limite: Female / Humans / Middle aged Idioma: En Revista: Radiology Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos