Attention-guided deep learning for gestational age prediction using fetal brain MRI
Attention-guided deep learning for gestational age prediction using fetal brain MRI
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Author / Creator
Shen, Liyue , Zheng, Jimmy , Lee, Edward H. , Shpanskaya, Katie , McKenna, Emily S. , Atluri, Mahesh G. , Plasto, Dinko , Mitchell, Courtney , Lai, Lillian M. , Guimaraes, Carolina V. , Dahmoush, Hisham , Chueh, Jane , Halabi, Safwan S. , Pauly, John M. , Xing, Lei , Lu, Quin , Oztekin, Ozgur , Kline-Fath, Beth M. and Yeom, Kristen W.
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. However, gauging age-appropriate neural development remains a difficult task due to the constantly changing appearance of the fetal brain, variable image quality, and frequent motion artifacts. Here w...
Alternative Titles
Full title
Attention-guided deep learning for gestational age prediction using fetal brain MRI
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TN_cdi_doaj_primary_oai_doaj_org_article_acc9f90ecd0649f7b321835b8319314f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acc9f90ecd0649f7b321835b8319314f
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-05468-5
