Automatic placental and fetal volume estimation by a convolutional neural network.

Journal: Placenta
PMID: 36863128

Abstract

INTRODUCTION: We aimed to develop an artificial intelligence (AI) deep learning algorithm to efficiently estimate placental and fetal volumes from magnetic resonance (MR) scans.

Authors

  • Carl Petter Skaar Kulseng
    Sunnmøre MR-Klinikk, Langelandsvegen 15, N-6010, Ålesund, Norway. Electronic address: carlkulseng@gmail.com.
  • Vigdis Hillestad
    Department of Diagnostic Imaging, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway.
  • Anne Eskild
    Department of Obstetrics and Gynecology, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171, N-0318, Oslo, Norway.
  • Kjell-Inge Gjesdal
    Sunnmøre MR-Klinikk, Langelandsvegen 15, N-6010, Ålesund, Norway; Department of Diagnostic Imaging, Akershus University Hospital, P.O. Box 1000, N-1478, Lørenskog, Norway.

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