Automatic fetal ultrasound image segmentation of first trimester for measuring biometric parameters based on deep learning

Liu, Lijue; Tang, Duo; Li, Xihong; Ouyang, Yan

doi:10.1007/s11042-023-16565-6

Multimed Tools Appl

2023

DOI: 10.1007/s11042-023-16565-6

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Automatic fetal ultrasound image segmentation of first trimester for measuring biometric parameters based on deep learning

Lijue Liu,

Duo Tang,

Xihong Li

et al.

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2024

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Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey

Neha Margret,

Rajakumar,

Arulalan

et al. 2024

IEEE Access

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Maternal mortality is a major public health concern worldwide. It is the number of preventable deaths that occur each year due to pregnancy and childbirth. The research investigates how machine learning may be used to minimize maternal mortality. Historical data on maternal health is used to develop predictive models, early detection systems, and resource allocation techniques. Machine learning helps to identify risk factors, monitor vital signs, and improve access to care. This allows for targeted interventions and better healthcare delivery. The challenges of data accessibility and model interpretation are addressed, highlighting the ethical and equitable applications of machine learning in maternal healthcare. This study emphasizes the potential of machine learning to reduce maternal mortality rates and the pressing need for its incorporation into healthcare systems worldwide.

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Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey

Neha Margret,

Rajakumar,

Arulalan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

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Automatic fetal ultrasound image segmentation of first trimester for measuring biometric parameters based on deep learning

Cited by 1 publication

References 30 publications

Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey

Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey

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