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EP27.35: A new ultrasound‐based Artificial intelligence system for the automatic identification of the fetal occiput position in labour
Author(s) -
Dall'Asta A.,
Conversano F.,
Volpe N.,
Di Paola M.,
Simone M.,
Schera G.,
Lori L.,
Infranco A.,
Casciaro S.,
Frusca T.,
Ghi T.
Publication year - 2019
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1002/uog.21681
Subject(s) - occiput , fetal head , convolutional neural network , position (finance) , artificial intelligence , medicine , artificial neural network , fetal position , ultrasound , computer science , pattern recognition (psychology) , computer vision , fetus , surgery , radiology , pregnancy , finance , biology , economics , genetics