Machine-learning-based automatic identification of fetal abdominal circumference from ultrasound images.

Journal: Physiological measurement
Published Date:

Abstract

OBJECTIVE: Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, such measurements are cumbersome. Hence, there is urgent need for automatic biometric estimation. Automated analysis of ultrasound images is complicated owing to the patient-specific, operator-dependent, and machine-specific characteristics of such images.

Authors

  • Bukweon Kim
    Department of Computational Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea.
  • Kang Cheol Kim
  • Yejin Park
  • Ja-Young Kwon
  • Jaeseong Jang
  • Jin Keun Seo