Artificial Intelligent Models for Automatic Diagnosis of Foetal Cardiac Anomalies: A Meta-Analysis
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2358-6_18
Reference19 articles.
1. W. Song, S. Li, J. Liu, H. Qin, B. Zhang, S. Zhang, A. Hao, Multitask cascade convolution neural networks for automatic thyroid nodule detection and recognition. IEEE J. Biomed. Health Inform. 23(3), 1215–1224 (2018)
2. L.I. Parikh, K.L. Grantz, S.N. Iqbal, C.C. Huang, H.J. Landy, M.H. Fries, U.M. Reddy, Neonatal outcomes in fetuses with cardiac anomalies and the impact of delivery route. Am. J. Obstet. Gynecol. 217(4), 469-e1 (2017)
3. G. Carneiro, J.C. Nascimento, A. Freitas, The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods. IEEE Trans. Image Process. 21(3), 968–982 (2011)
4. Suard, C., Flori, A., Paoli, F., Loundou, A., Fouilloux, V., Sigaudy, S., F. Michel, J. Antomarchi, P. Moceri, V. Paquis-Flucklinger, C. D’ercole, F. Bretelle, Accuracy of prenatal screening for congenital heart disease in population: a retrospective study in Southern France. PloS one, 15(10), e0239476 (2020)
5. B.J. Holland, J.A. Myers, C.R. Woods Jr., Prenatal diagnosis of critical congenital heart disease reduces risk of death from cardiovascular compromise prior to planned neonatal cardiac surgery: a meta-analysis. Ultrasound Obstet. Gynecol. 45(6), 631–638 (2015)
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