2021
DOI: 10.1016/j.ajogmf.2021.100462
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Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

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Cited by 19 publications
(27 citation statements)
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References 34 publications
(67 reference statements)
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“…Four studies present a growth model. 42 , 73 , 74 , 75 Bihoun et al. compared the growth curves for a population from rural Burkina Faso, using the Salomon equation and the Intergrowth 21-st growth curves.…”
Section: Resultsmentioning
confidence: 99%
“…Four studies present a growth model. 42 , 73 , 74 , 75 Bihoun et al. compared the growth curves for a population from rural Burkina Faso, using the Salomon equation and the Intergrowth 21-st growth curves.…”
Section: Resultsmentioning
confidence: 99%
“…The final dataset is composed of 8747 images, 3436 for TRV and 5311 for TTA. Then, all images were cropped by means of an automatic brain detector based on a convolutional neural network, trained on thousands of fetal ultrasound brain images [ 35 ]. Figure 1 shows some image examples.…”
Section: Methodsmentioning
confidence: 99%
“…The enrolled women were asked particularly about using supplements of iron, folic acid, potassium iodide, and multivitamins during pregnancy. The ANN model having the pregnancy check variables and intake of iodized salt, iodized supplements, and iodine rich-foods might be utilized to predict the deficiency of iodine in the earlier pregnancy period, which aids experts in going for a feasible diagnosis [19].…”
Section: Significance Of Ai In the First Trimester Of Pregnancymentioning
confidence: 99%
“…For the development and validation of the AI system, prenatal ultrasound diagnosis AI conduct system (PAICS) is proposed to determine various fetal intracranial abnormality patterns in standardized sonographic reference planes to screen for any malformations of the congenital central nervous system (CNS) [22]. Similarly, Burgos-Artizzu et al assessed the performance of the AI method based on automated analysis of fetal-brain morphology of fetus upon standard cranial ultrasound section for predicting the gestational age parameters in II and III trimesters of pregnancy women fetuses [19]. The comparative assessment is explored by comparing with present formulas through standardized fetal biometry [20].…”
Section: Significance Of Ai In the Second And Third Trimestersmentioning
confidence: 99%