OP06.07: Machine learning-based detection of fetal anatomical orientation in second trimester ultrasound images

N. Hernandez-Cruz^*, D. Mishra, O. Patey, M. Sarker, R. Craik, E. Wilden, J. A. Noble, A. T. Papageorghiou

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	62-62
Number of pages	1
Journal	Ultrasound in Obstetrics Gynecology
Volume	62
Issue number	S1
DOIs	https://doi.org/10.1002/uog.26499
Publication status	Published - 2023
Externally published	Yes

Access to Document

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title = "OP06.07: Machine learning-based detection of fetal anatomical orientation in second trimester ultrasound images",

author = "N. Hernandez-Cruz and D. Mishra and O. Patey and M. Sarker and R. Craik and E. Wilden and Noble, \{J. A.\} and Papageorghiou, \{A. T.\}",

year = "2023",

doi = "10.1002/uog.26499",

language = "English",

volume = "62",

pages = "62--62",

journal = "Ultrasound in Obstetrics Gynecology",

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TY - JOUR

T1 - OP06.07: Machine learning-based detection of fetal anatomical orientation in second trimester ultrasound images

AU - Hernandez-Cruz, N.

AU - Mishra, D.

AU - Patey, O.

AU - Sarker, M.

AU - Craik, R.

AU - Wilden, E.

AU - Noble, J. A.

AU - Papageorghiou, A. T.

PY - 2023

Y1 - 2023

U2 - 10.1002/uog.26499

DO - 10.1002/uog.26499

M3 - Article

VL - 62

SP - 62

EP - 62

JO - Ultrasound in Obstetrics Gynecology

JF - Ultrasound in Obstetrics Gynecology

IS - S1

ER -