Login / Signup

LI-RADS ancillary feature prediction of longitudinal category changes in LR-3 observations: an exploratory study.

Erin L ShropshireAdrija MamidipalliTanya WolfsonBrian C AllenTracy A JaffeSaya IgarashiAtsushi HigakiMasahiro TanabeAnthony GamstClaude B SirlinMustafa R Bashir
Published in: Abdominal radiology (New York) (2021)
While numerous ancillary features are described in LI-RADS, most are rarely present and are not useful predictors of LR-3 observation category changes.
Keyphrases
  • ion batteries
  • machine learning
  • solid state
  • deep learning
  • cross sectional