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Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.

Mark C WalkerInbal WillnerOlivier X MiguelMalia S Q MurphyDarine El-ChaârFelipe MorettiAlysha L J Dingwall HarveyRuth Rennicks WhiteKatherine A MuldoonAndré M CarringtonSteven HawkenRichard I Aviv
Published in: PloS one (2022)
Our findings demonstrate that deep-learning algorithms can achieve high accuracy in diagnostic interpretation of cystic hygroma in the first trimester, validated against expert clinical assessment.
Keyphrases
  • deep learning
  • artificial intelligence
  • machine learning
  • convolutional neural network
  • magnetic resonance imaging
  • clinical practice
  • ultrasound guided
  • computed tomography
  • contrast enhanced ultrasound