
Pilot study of machine learning for detection of placenta accreta spectrum.
Publication
, Journal Article
Zhang, Y; Ellestad, SC; Gilner, JB; Pyne, A; Boyd, BK; Mazurowski, MA; Gatta, LA
Published in: Ultrasound Obstet Gynecol
September 2024
Duke Scholars
Published In
Ultrasound Obstet Gynecol
DOI
EISSN
1469-0705
Publication Date
September 2024
Volume
64
Issue
3
Start / End Page
426 / 427
Location
England
Related Subject Headings
- Ultrasonography, Prenatal
- Pregnancy
- Placenta Accreta
- Pilot Projects
- Obstetrics & Reproductive Medicine
- Machine Learning
- Humans
- Female
- Adult
- 3215 Reproductive medicine
Citation
APA
Chicago
ICMJE
MLA
NLM
Zhang, Y., Ellestad, S. C., Gilner, J. B., Pyne, A., Boyd, B. K., Mazurowski, M. A., & Gatta, L. A. (2024). Pilot study of machine learning for detection of placenta accreta spectrum. Ultrasound Obstet Gynecol, 64(3), 426–427. https://doi.org/10.1002/uog.29100
Zhang, Y., S. C. Ellestad, J. B. Gilner, A. Pyne, B. K. Boyd, M. A. Mazurowski, and L. A. Gatta. “Pilot study of machine learning for detection of placenta accreta spectrum.” Ultrasound Obstet Gynecol 64, no. 3 (September 2024): 426–27. https://doi.org/10.1002/uog.29100.
Zhang Y, Ellestad SC, Gilner JB, Pyne A, Boyd BK, Mazurowski MA, et al. Pilot study of machine learning for detection of placenta accreta spectrum. Ultrasound Obstet Gynecol. 2024 Sep;64(3):426–7.
Zhang, Y., et al. “Pilot study of machine learning for detection of placenta accreta spectrum.” Ultrasound Obstet Gynecol, vol. 64, no. 3, Sept. 2024, pp. 426–27. Pubmed, doi:10.1002/uog.29100.
Zhang Y, Ellestad SC, Gilner JB, Pyne A, Boyd BK, Mazurowski MA, Gatta LA. Pilot study of machine learning for detection of placenta accreta spectrum. Ultrasound Obstet Gynecol. 2024 Sep;64(3):426–427.

Published In
Ultrasound Obstet Gynecol
DOI
EISSN
1469-0705
Publication Date
September 2024
Volume
64
Issue
3
Start / End Page
426 / 427
Location
England
Related Subject Headings
- Ultrasonography, Prenatal
- Pregnancy
- Placenta Accreta
- Pilot Projects
- Obstetrics & Reproductive Medicine
- Machine Learning
- Humans
- Female
- Adult
- 3215 Reproductive medicine