Artificial intelligence and fetal ultrasound biometry: Challenges and perspectives.

Journal: Diagnostic and interventional imaging
PMID: 36801095

Abstract

No abstract available for this article.

Authors

  • Gaelle Ambroise Grandjean
    INSERM U1254, IADI, Université de Lorraine, 54511 Vandoeuvre-les-Nancy, France; Department of Obstetrics, CHRU Nancy, 54000 Nancy, France; Midwifery Department, Université de Lorraine, 54000 Nancy, France. Electronic address: g.ambroise@chru-nancy.fr.
  • Julien Oster
  • Matthieu Dap
    INSERM U1254, IADI, Université de Lorraine, 54511 Vandoeuvre-les-Nancy, France; Department of Obstetrics, CHRU Nancy, 54000 Nancy, France.
  • Olivier Morel
    INSERM U1254, IADI, Université de Lorraine, 54511 Vandoeuvre-les-Nancy, France; Department of Obstetrics, CHRU Nancy, 54000 Nancy, France.
  • Gabriela Hossu
    INSERM U1254, IADI, Université de Lorraine, 54511 Vandoeuvre-les-Nancy, France; CIC-IT, CHRU Nancy, Université de Lorraine, 54000 Nancy, France.

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