Learning deep architectures for the interpretation of first-trimester fetal echocardiography (life) – a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

HIGHLIGHTS

• who: Ungureanu Anda from the The study to be performed is a cross-sectional study divided into two separated parts (the training part of the machine learning approaches within the proposed framework and the testing phase on previously unseen frames and eventually on actual video scans) that will take place in two screening and referral prenatal diagnosis units: MEDGIN/GINECHO Clinic and University Emergency County Hospital Craiova (a tertiary maternity hospital)Participants characteristics have published the paper: Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent . . .
  

   

  

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