OP02.09: AIRFRAME: artificial intelligence for recognition of fetal brain anomalies from ultrasound images of the first trimester
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| Veröffentlicht in: | Ultrasound in obstetrics & gynecology 2024-09, Vol.64 (S1), p.64-65 |
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| container_title | Ultrasound in obstetrics & gynecology |
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| creator | Familiari, A. Di Ilio, C. Fanelli, T. Volpe, P. Dall'Asta, A. Volpe, N. Zegarra, R. Ramirez Minopoli, M. Thilaganathan, B. Prefumo, F. Quarello, E. Raffaelli, R. Binder, J. Grisolia, G. Rizzo, G. Meagher, S. Tran, H. Boldrini, L. Ghi, T. |
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| doi_str_mv | 10.1002/uog.27891 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0960-7692 |
| ispartof | Ultrasound in obstetrics & gynecology, 2024-09, Vol.64 (S1), p.64-65 |
| issn | 0960-7692 1469-0705 |
| language | eng |
| recordid | cdi_proquest_journals_3102051268 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Airframes Artificial intelligence Fetuses |
| title | OP02.09: AIRFRAME: artificial intelligence for recognition of fetal brain anomalies from ultrasound images of the first trimester |
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