Cite
Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization.
MLA
Andreasen, Lisbeth Anita, et al. “Multi-Centre Deep Learning for Placenta Segmentation in Obstetric Ultrasound with Multi-Observer and Cross-Country Generalization.” Scientific Reports, vol. 13, no. 1, Feb. 2023, pp. 1–8. EBSCOhost, https://doi.org/10.1038/s41598-023-29105-x.
APA
Andreasen, L. A., Feragen, A., Christensen, A. N., Thybo, J. K., Svendsen, M. B. S., Zepf, K., Lekadir, K., & Tolsgaard, M. G. (2023). Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization. Scientific Reports, 13(1), 1–8. https://doi.org/10.1038/s41598-023-29105-x
Chicago
Andreasen, Lisbeth Anita, Aasa Feragen, Anders Nymark Christensen, Jonathan Kistrup Thybo, Morten Bo S. Svendsen, Kilian Zepf, Karim Lekadir, and Martin Grønnebæk Tolsgaard. 2023. “Multi-Centre Deep Learning for Placenta Segmentation in Obstetric Ultrasound with Multi-Observer and Cross-Country Generalization.” Scientific Reports 13 (1): 1–8. doi:10.1038/s41598-023-29105-x.