Applicability of Deep Learning to Dynamically Identify the Different Organs of the Pelvic Floor in the Midsagittal Plane.

Journal: International urogynecology journal
Published Date: Jun 24, 2024

Abstract

INTRODUCTION AND HYPOTHESIS: The objective was to create and validate the usefulness of a convolutional neural network (CNN) for identifying different organs of the pelvic floor in the midsagittal plane via dynamic ultrasound.

Authors

  • José Antonio García-Mejido
    Department of Obstetrics and Gynecology, Valme University Hospital, Seville, Spain. jgmejido@us.es.
  • David Solis-Martín
    Department of Computer Science and Artificial Intelligence, Faculty of Mathematics, University of Seville, Seville, Spain.
  • Marina Martín-Morán
    Department of Obstetrics and Gynecology, Valme University Hospital, Seville, Spain.
  • Cristina Fernández-Conde
    Department of Obstetrics and Gynecology, Valme University Hospital, Seville, Spain.
  • Fernando Fernández-Palacín
    Department of Statistics and Operational Research, University of Cadiz, Cadiz, Spain.
  • José Antonio Sainz-Bueno
    Department of Obstetrics and Gynecology, Valme University Hospital, Seville, Spain.

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