Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis.

Journal: International journal of environmental research and public health
Published Date:

Abstract

BACKGROUND: This study aims to evaluate the diagnostic performance of Deep Learning (DL) machine for the detection of adenomyosis on uterine ultrasonographic images and compare it to intermediate ultrasound skilled trainees.

Authors

  • Diego Raimondo
    Division of Gynaecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero - Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
  • Antonio Raffone
    Division of Gynaecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero - Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
  • Anna Chiara Aru
    Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40126 Bologna, Italy.
  • Matteo Giorgi
    Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy.
  • Ilaria Giaquinto
    Department of Obstetrics and Gynecology, Morgagni-Pierantoni Hospital, 47100 Forlì, Italy.
  • Emanuela Spagnolo
    Department of Obstetrics and Gynecology, Hospital Universitario La Paz, Paseo de la Castellana, 28046 Madrid, Spain.
  • Antonio Travaglino
    Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy.
  • Federico Andrea Galatolo
    Department of Information Engineering, University of Pisa, 56100 Pisa, Italy.
  • Mario Giovanni Cosimo Antonio Cimino
    Department of Information Engineering, University of Pisa, 56100 Pisa, Italy.
  • Jacopo Lenzi
    Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.
  • Gabriele Centini
    Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy.
  • Lucia Lazzeri
    Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy.
  • Antonio Mollo
    Gynecology and Obstetrics Unit, Department of Medicine, Surgery and Dentistry "Schola Medica Salernitana", University of Salerno, Baronissi, Italy.
  • Renato Seracchioli
    Division of Gynaecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero - Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
  • Paolo Casadio
    Division of Gynecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliero-Univeristaria di Bologna, University of Bologna, Bologna, Italy.