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• W2898050043 abstract "Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural abnormalities such as those involved in twin-to-twin transfusion syndrome, gestational diabetes mellitus, pulmonary sequestration and hypoplasia, congenital heart disease, diaphragmatic hernia, ventriculomegaly, etc. Considering the continued breakthroughs in utero image analysis and (3D) reconstruction models, it is now possible to gain more insight into the ongoing development of the fetus. Best prenatal diagnosis performances rely on the conscious preparation of the clinicians in terms of fetal anatomy knowledge. Therefore, fetal imaging will likely span and increase its prevalence in the forthcoming years. This review covers state-of-the-art segmentation and classification methodologies for the whole fetus and, more specifically, the fetal brain, lungs, liver, heart and placenta in magnetic resonance imaging and (3D) ultrasound for the first time. Potential applications of the aforementioned methods into clinical settings are also inspected. Finally, improvements in existing approaches as well as most promising avenues to new areas of research are briefly outlined." @default.
• W2898050043 created "2018-10-26" @default.
• W2898050043 creator A5021143022 @default.
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• W2898050043 date "2019-01-01" @default.
• W2898050043 modified "2023-09-29" @default.
• W2898050043 title "Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects" @default.
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• W2898050043 doi "https://doi.org/10.1016/j.media.2018.10.003" @default.
• W2898050043 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30390513" @default.
• W2898050043 hasPublicationYear "2019" @default.
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