Fetal Health Prediction Using Machine Learning Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8086-2_88
Reference18 articles.
1. Singh A (2020) Deep predictive motion tracking in magnetic resonance imaging: application to fetal imaging. IEEE Trans Med Imaging 39(11):3523–3534
2. Meng Q, Hou (2019) Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging. IEEE Trans Med Imaging 38(12):2755–2767
3. Rakesh Raj (2021) A Machine learning methods for preterm birth prediction:Hindawi J Healthc Eng 1–11
4. Pradipta GA (2017) Fetal weight prediction based on ultrasound image using fuzzy C means clustering and iterative random Hough transform
5. Lee LH, Alison Noble J (2020) Automatic determination of the fetal cardiac cycle in ultrasound using spatio-temporal neural networks. In: 2020 IEEE 17th international symposium on biomedical imaging (ISBI)
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