Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound

  • Authors
  • Torrents-Barrena J, Monill N, Piella G, Gratacós E, Eixarch E, Ceresa M, González Ballester MA
  • UPF authors
  • PIELLA FENOY, GEMA; GONZALEZ BALLESTER, MIGUEL ANGEL; TORRENTS BARRENA, JORDINA;
  • Type
  • Scholarly articles
  • Journal títle
  • Academic Radiology
  • Publication year
  • 2021
  • Volume
  • 28
  • Number
  • 2
  • Pages
  • 173-188
  • ISSN
  • 1076-6332
  • Publication State
  • Published
  • Complete citation
  • Torrents-Barrena J, Monill N, Piella G, Gratacós E, Eixarch E, Ceresa M, González Ballester MA. Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound. Academic Radiology 2021; 28(2): 173-188.
Bibliometric indicators
  • 1 times cited Scopus
  • 2 times cited WOS
  • Índex Scimago de 0.986 (2020)