{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T15:22:34Z","timestamp":1790695354072,"version":"4.1.0"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100010877","name":"Science, Technology and Innovation Commission of Shenzhen Municipality","doi-asserted-by":"publisher","award":["GJHZ20200731095401004"],"award-info":[{"award-number":["GJHZ20200731095401004"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1016\/j.cmpb.2022.107170","type":"journal-article","created":{"date-parts":[[2022,10,2]],"date-time":"2022-10-02T09:47:05Z","timestamp":1664704025000},"page":"107170","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":24,"special_numbering":"C","title":["How much can AI see in early pregnancy: A multi\u2010center study of fetus head characterization in week 10\u201314 in ultrasound using deep learning"],"prefix":"10.1016","volume":"226","author":[{"given":"Qi","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuli","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyuan","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoli","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuye","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qihui","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoting","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8449-7568","authenticated-orcid":false,"given":"Yitao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruilian","family":"She","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinfeng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4558-4885","authenticated-orcid":false,"given":"Fajin","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cmpb.2022.107170_bib0001","first-page":"1","article-title":"A short history of the development of ultrasound in obstetrics and gynecology","volume":"3","author":"Woo","year":"2002","journal-title":"Hist. Ultrasound Obstet. Gynecol."},{"issue":"7","key":"10.1016\/j.cmpb.2022.107170_bib0002","article-title":"Ultrasound for fetal assessment in early pregnancy","author":"Whitworth","year":"2015","journal-title":"Cochrane Database Syst. Rev."},{"issue":"8821","key":"10.1016\/j.cmpb.2022.107170_bib0003","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1016\/0140-6736(92)92240-G","article-title":"Ultrasonographically detectable markers of fetal chromosomal abnormalities","volume":"340","author":"Nicolaides","year":"1992","journal-title":"Lancet"},{"issue":"4","key":"10.1016\/j.cmpb.2022.107170_bib0004","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1002\/uog.128","article-title":"Screening for chromosomal defects","volume":"21","author":"Nicolaides","year":"2003","journal-title":"Ultrasound Obstet. Gynecol."},{"issue":"6","key":"10.1016\/j.cmpb.2022.107170_bib0005","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1016\/j.ajog.2005.03.021","article-title":"Prospective first-trimester screening for trisomy 21 in 30,564 pregnancies","volume":"192","author":"Avgidou","year":"2005","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"5","key":"10.1016\/j.cmpb.2022.107170_bib0006","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1002\/uog.10051","article-title":"First-trimester screening for chromosomal abnormalities by integrated application of nuchal translucency, nasal bone, tricuspid regurgitation and ductus venosus flow combined with maternal serum free \u03b2-hCG and PAPP-A: a 5-year prospective study","volume":"39","author":"Ghaffari","year":"2012","journal-title":"Ultrasound Obstet. Gynecol."},{"issue":"3","key":"10.1016\/j.cmpb.2022.107170_bib0007","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1046\/j.1365-2788.1999.00198.x","article-title":"Mortality in down's syndrome in relation to congenital malformations","volume":"43","author":"Frid","year":"1999","journal-title":"J. Intellect. Disabil. Res."},{"issue":"2","key":"10.1016\/j.cmpb.2022.107170_bib0008","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1093\/eurpub\/ckl103","article-title":"The four ages of Down syndrome","volume":"17","author":"Bittles","year":"2007","journal-title":"Eur. J. Public Health"},{"issue":"5","key":"10.1016\/j.cmpb.2022.107170_bib0009","first-page":"956","article-title":"Abnormal first-trimester fetal nuchal translucency and Cornelia De Lange syndrome","volume":"99","author":"Huang","year":"2002","journal-title":"Obstet. Gynecol."},{"issue":"4","key":"10.1016\/j.cmpb.2022.107170_bib0010","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1002\/uog.1849","article-title":"Increased first-trimester fetal nuchal translucency thickness in association with chondroectodermal dysplasia (Ellis\u2013Van Creveld syndrome)","volume":"25","author":"Venkat-Raman","year":"2005","journal-title":"Ultrasound Obstet. Gynecol. Off. J. Int. Soc. Ultrasound Obstet. Gynecol."},{"issue":"4","key":"10.1016\/j.cmpb.2022.107170_bib0011","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1002\/uog.17246","article-title":"Systematic review of first-trimester ultrasound screening for detection of fetal structural anomalies and factors that affect screening performance","volume":"50","author":"Karim","year":"2017","journal-title":"Ultrasound Obstet. Gynecol."},{"issue":"3","key":"10.1016\/j.cmpb.2022.107170_bib0012","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1002\/pd.4997","article-title":"The added value of detailed early anomaly scan in fetuses with increased nuchal translucency","volume":"37","author":"Zalel","year":"2017","journal-title":"Prenat. Diagn."},{"issue":"2","key":"10.1016\/j.cmpb.2022.107170_bib0013","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1002\/pd.5583","article-title":"The utility of nuchal translucency ultrasound in identifying rare chromosomal abnormalities not detectable by cell-free DNA screening","volume":"40","author":"Berger","year":"2020","journal-title":"Prenat. Diagn."},{"issue":"2","key":"10.1016\/j.cmpb.2022.107170_bib0014","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1002\/uog.31","article-title":"Fetal nasal bone length: reference range and clinical application in ultrasound screening for trisomy 21","volume":"21","author":"Bunduki","year":"2003","journal-title":"Ultrasound Obstet. Gynecol. Off. J. Int. Soc. Ultrasound Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0015","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1002\/uog.167","article-title":"Measurement of nasal bone length at 11\u201314 weeks of pregnancy and its potential role in Down syndrome risk assessment","volume":"22","author":"Orlandi","year":"2003","journal-title":"Ultrasound Obstet. Gynecol. Off. J. Int. Soc. Ultrasound Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0016","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ajog.2005.12.057","article-title":"Nasal bone in first-trimester screening for trisomy 21","volume":"195","author":"Cicero","year":"2006","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0017","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1002\/uog.12342","article-title":"ISUOG practice guidelines: performance of first-trimester fetal ultrasound scan","volume":"41","author":"Salomon","year":"2013","journal-title":"Ultrasound Obstet. Gynecol. Off. J. Int. Soc. Ultrasound Obstet. Gynecol."},{"issue":"2","key":"10.1016\/j.cmpb.2022.107170_bib0018","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1097\/GIM.0b013e3181616bf8","article-title":"Quality assessment of routine nuchal translucency measurements: a North American laboratory perspective","volume":"10","author":"Palomaki","year":"2008","journal-title":"Genet. Med."},{"issue":"2","key":"10.1016\/j.cmpb.2022.107170_bib0019","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1002\/uog.6398","article-title":"Quality of nuchal translucency measurements in The Netherlands: a quantitative analysis","volume":"34","author":"Koster","year":"2009","journal-title":"Ultrasound Obstet. Gynecol. Off. J. Int. Soc. Ultrasound Obstet. Gynecol."},{"issue":"7","key":"10.1016\/j.cmpb.2022.107170_bib0020","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.3109\/14767058.2011.614658","article-title":"Quality assurance of nuchal translucency for prenatal fetal Down syndrome screening","volume":"25","author":"Singh Sahota","year":"2012","journal-title":"J. Matern. Fetal Neonatal Med."},{"issue":"3","key":"10.1016\/j.cmpb.2022.107170_bib0021","doi-asserted-by":"crossref","first-page":"S11","DOI":"10.1016\/j.jmir.2019.06.030","article-title":"Nuchal translucency quality assurance (NTQA) in Ontario","volume":"50","author":"Bjerring","year":"2019","journal-title":"J. Med. Imaging Radiat. Sci."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0022","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1111\/ajo.12792","article-title":"Quality management of nuchal translucency ultrasound measurement in Australia","volume":"59","author":"Nisbet","year":"2019","journal-title":"Aust. N. Z. J. Obstet. Gynaecol."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0023","doi-asserted-by":"crossref","first-page":"S140","DOI":"10.1016\/j.ajog.2019.11.219","article-title":"Maintaining optimal performance: characteristics of providers requiring remediation within the nuchal translucency quality review program","volume":"222","author":"Marinescu","year":"2020","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"6","key":"10.1016\/j.cmpb.2022.107170_bib0024","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1159\/000106342","article-title":"Nuchal translucency measurements for first-trimester screening: the \u2018price'of inaccuracy","volume":"22","author":"Evans","year":"2007","journal-title":"Fetal Diagn. Ther."},{"issue":"6","key":"10.1016\/j.cmpb.2022.107170_bib0025","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1002\/uog.6370","article-title":"Effect of deviation of nuchal translucency measurements on the performance of screening for trisomy 21","volume":"33","author":"Kagan","year":"2009","journal-title":"Ultrasound Obstet. Gynecol. Off. J. Int. Soc. Ultrasound Obstet. Gynecol."},{"issue":"4","key":"10.1016\/j.cmpb.2022.107170_bib0026","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1002\/pd.5226","article-title":"The price of abandoning diagnostic testing for cell-free fetal DNA screening","volume":"38","author":"Evans","year":"2018","journal-title":"Prenat. Diagn."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0027","doi-asserted-by":"crossref","first-page":"S678","DOI":"10.1016\/j.ajog.2018.11.1082","article-title":"Disparities in nuchal translucency uptake in California","volume":"220","author":"Fillman","year":"2019","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.cmpb.2022.107170_bib0028","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.media.2014.12.005","article-title":"Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors","volume":"24","author":"Dahdouh","year":"2015","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.107170_bib0029","article-title":"Multi-task learning for quality assessment of fetal head ultrasound images","volume":"58","author":"Lin","year":"2019","journal-title":"J. Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.107170_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2020.105519","article-title":"Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes","volume":"194","author":"Yang","year":"2020","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.cmpb.2022.107170_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.101973","article-title":"Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos","volume":"69","author":"Sharma","year":"2021","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2022.107170_bib0032","series-title":"Proceedings of the IEEE 13th International Symposium on Biomedical Imaging (ISBI)","article-title":"Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning","author":"Ravishankar","year":"2016"},{"issue":"12","key":"10.1016\/j.cmpb.2022.107170_bib0033","doi-asserted-by":"crossref","first-page":"2925","DOI":"10.1016\/j.ultrasmedbio.2017.07.013","article-title":"A deep learning solution for automatic fetal neurosonographic diagnostic plane verification using clinical standard constraints","volume":"43","author":"Yaqub","year":"2017","journal-title":"Ultrasound Med. Biol."},{"key":"10.1016\/j.cmpb.2022.107170_bib0034","series-title":"Proceedings of the IEEE International Conference on Computer Vision","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017"},{"issue":"11","key":"10.1016\/j.cmpb.2022.107170_bib0035","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.1109\/LSP.2014.2337313","article-title":"Fast implementation of DeLong's algorithm for comparing the areas under correlated receiver operating characteristic curves","volume":"21","author":"Sun","year":"2014","journal-title":"IEEE Signal Process Lett."}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016926072200551X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016926072200551X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:23:36Z","timestamp":1759206216000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S016926072200551X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":35,"alternative-id":["S016926072200551X"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2022.107170","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"How much can AI see in early pregnancy: A multi\u2010center study of fetus head characterization in week 10\u201314 in ultrasound using deep learning","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2022.107170","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107170"}}