Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation
Author:
Funder
Romanian Government Ministry of Research Innovation and Digitization
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference35 articles.
1. Fetal diagnosis and therapy during the COVID-19 Pandemic: guidance on behalf of the international fetal medicine and surgery society;Deprest;Fetal Diagn. Ther.,2020
2. Pregnancy and Childbirth in the COVID-19 Era - the course of disease and maternal-fetal transmission;Mazur-Bialy;J. Clin. Med.,2020
3. Effects of the COVID-19 pandemic on the maternal and perinatal outcomes: a systematic review and meta-analysis;Chmielewska;Lancet Global Health,2021
4. Risk of congenital birth defects during COVID-19 pandemic: draw attention to the physicians and policymakers;Khan;J. Glob. Health,2020
5. COVID-19 in pregnancy: the foetal perspective-a systematic review;Dube;Neonatology,2020
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