Machine learning for accurate estimation of fetal gestational age based on ultrasound images

Lok Hin Lee, Elizabeth Bradburn, Rachel Craik, Mohammad Yaqub, Shane A. Norris, Leila Cheikh Ismail, Eric O. Ohuma, Fernando C. Barros, Ann Lambert, Maria Carvalho, Yasmin A. Jaffer, Michael Gravett, Manorama Purwar, Qingqing Wu, Enrico Bertino, Shama Munim, Aung Myat Min, Zulfiqar Bhutta, José Villar, Stephen H. Kennedy, J. Alison Noble, Aris T. Papageorghiou. Machine learning for accurate estimation of fetal gestational age based on ultrasound images. npj Digit. Medicine, 6, 2023. [doi]

@article{LeeBCYNIOBLCJGP23,
  title = {Machine learning for accurate estimation of fetal gestational age based on ultrasound images},
  author = {Lok Hin Lee and Elizabeth Bradburn and Rachel Craik and Mohammad Yaqub and Shane A. Norris and Leila Cheikh Ismail and Eric O. Ohuma and Fernando C. Barros and Ann Lambert and Maria Carvalho and Yasmin A. Jaffer and Michael Gravett and Manorama Purwar and Qingqing Wu and Enrico Bertino and Shama Munim and Aung Myat Min and Zulfiqar Bhutta and José Villar and Stephen H. Kennedy and J. Alison Noble and Aris T. Papageorghiou},
  year = {2023},
  doi = {10.1038/s41746-023-00774-2},
  url = {https://doi.org/10.1038/s41746-023-00774-2},
  researchr = {https://researchr.org/publication/LeeBCYNIOBLCJGP23},
  cites = {0},
  citedby = {0},
  journal = {npj Digit. Medicine},
  volume = {6},
}