EP27.35: A new ultrasound‐based Artificial intelligence system for the automatic identification of the fetal occiput position in labour. (30th September 2019)

Record Type:: Journal Article
Title:: EP27.35: A new ultrasound‐based Artificial intelligence system for the automatic identification of the fetal occiput position in labour. (30th September 2019)
Main Title:: EP27.35: A new ultrasound‐based Artificial intelligence system for the automatic identification of the fetal occiput position in labour
Authors:: Dall'Asta, A.
Conversano, F.
Volpe, N.
Di Paola, M.
Simone, M.
Schera, G.
Lori, L.
Infranco, A.
Casciaro, S.
Frusca, T.
Ghi, T.
Abstract:
Is Part Of:: Ultrasound in obstetrics & gynecology. Volume 54(2019)Supplement 1
Journal:: Ultrasound in obstetrics & gynecology
Issue:: Volume 54(2019)Supplement 1
Issue Display:: Volume 54, Issue 1 (2019)
Year:: 2019
Volume:: 54
Issue:: 1
Issue Sort Value:: 2019-0054-0001-0000
Page Start:: 408
Page End:: 408
Publication Date:: 2019-09-30
Subjects:: Ultrasonics in obstetrics -- Periodicals
Generative organs, Female -- Diseases -- Diagnosis -- Periodicals
Diagnosis, Ultrasonic -- Periodicals
Genital Diseases, Female -- ultrasonography -- Periodicals
Ultrasonography, Prenatal -- Periodicals
618.047543
Journal URLs:: http://obgyn.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1469-0705/ ↗
http://onlinelibrary.wiley.com/ ↗
DOI:: 10.1002/uog.21681 ↗
Languages:: English
ISSNs:: 0960-7692
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 9082.815300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:: 17789.xml