Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.

Abstract

Authors

• David Coronado-Gutiérrez
  Transmural Biotech S.L., Barcelona, Spain (Dr Burgos-Artizzu and Mr Coronado-Gutiérrez); BCNatal, Barcelona Center for Maternal-Fetal and Neonatal Medicine, Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain (Dr Burgos-Artizzu, Mr Coronado-Gutiérrez, and Drs Valenzuela-Alcaraz, Vellvé, Eixarch, Crispi, Bonet-Carne, Bennasar, and Gratacos).
• Elisenda Eixarch
  Fetal i+D Fetal Medicine Research Center, BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), IDIBAPS, University of Barcelona, Spain; Centre for Biomedical Research on Rare Diseases (CIBER-ER), Barcelona, Spain.
• Elena Monterde
  BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
• Isabel Matas
  BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
• Paola Traversi
  BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
• Eduard Gratacós
  Fetal i+D Fetal Medicine Research Center, BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), IDIBAPS, University of Barcelona, Spain; Centre for Biomedical Research on Rare Diseases (CIBER-ER), Barcelona, Spain.
• Elisenda Bonet-Carne
  University College London, London, United Kingdom.
• Xavier P Burgos-Artizzu
  Division of Engineering and Applied Sciences 136-93, California Institute of Technology, Pasadena, CA 91125.

Keywords

External Resources