AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway.

Journal: European radiology
PMID: 38528136

Abstract

OBJECTIVE: To explore the ability of artificial intelligence (AI) to classify breast cancer by mammographic density in an organized screening program.

Authors

  • Marie Burns Bergan
    Section for Breast Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, P.O. Box 5313, 0304, Oslo, Norway.
  • Marthe Larsen
    Section for Breast Cancer Screening, Cancer Registry of Norway, Oslo, Norway.
  • Nataliia Moshina
    Section for Breast Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, P.O. Box 5313, 0304, Oslo, Norway.
  • Hauke Bartsch
    Department of Radiology, Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital, Bergen, Norway.
  • Henrik Wethe Koch
    Department of Radiology, Stavanger University Hospital, Stavanger, Norway.
  • Hildegunn Siv Aase
    Department of Radiology, Haukeland University Hospital, Bergen, Norway.
  • Zhanbolat Satybaldinov
    Department of Radiology, Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital, Bergen, Norway.
  • Ingfrid Helene Salvesen Haldorsen
    Department of Radiology, Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital, Bergen, Norway.
  • Christoph I Lee
    Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
  • Solveig Hofvind
    Section for Breast Cancer Screening, Cancer Registry of Norway, Oslo, Norway.

Keywords

External Resources

Popular Topics
Recent Journals