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
  • GONZALEZ BALLESTER, MIGUEL ANGEL;
  • Type
  • Scholarly articles
  • Journal títle
  • Academic Radiology
  • Publication year
  • 2020
  • Volume
  • 28
  • Number
  • 2
  • Pages
  • 0-0
  • 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 2020; 28(2).
Bibliometric indicators
  • Índex Scimago de 0.986(2020)