Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control.
Saved in:
| Title: | Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control. |
|---|---|
| Authors: | Viswanathan AV; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Pokaprakarn T; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA., Kasaro MP; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia., Shah HR; Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Prieto JC; Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Benabdelkader C; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Sebastião YV; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Sindano N; UNC Global Projects - Zambia LLC, Lusaka, Zambia., Stringer E; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia., Stringer JSA; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia. |
| Source: | International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics [Int J Gynaecol Obstet] 2024 Jun; Vol. 165 (3), pp. 1013-1021. Date of Electronic Publication: 2024 Jan 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 0210174 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3479 (Electronic) Linking ISSN: 00207292 NLM ISO Abbreviation: Int J Gynaecol Obstet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1879-3479 |
|---|---|
| DOI: | 10.1002/ijgo.15321 |
