Automatic biometry of fetal brain MRIs using deep and machine learning techniques Article Swipe

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Jiayan She , Haiying Huang , Zhijun Ye , Huang Wei , Yan Sun , Chuan Liu , Weilin Yang , Jiaxi Wang , Pengfei Ye , Lei Zhang , Gang Ning ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1038/s41598-023-43867-4

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Pearson Correlation Coefficient

Segmentation Fault

Artificial Intelligence

Biomedical Engineering

Nuclear Magnetic Resonance

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Correlation coefficient Magnetic resonance imaging Correlation Pearson product-moment correlation coefficient Segmentation Artificial intelligence Fetus Biometrics Gestational age Nuclear medicine Linear correlation Computer science Pattern recognition (psychology) Medicine Biomedical engineering Nuclear magnetic resonance Mathematics Physics Radiology Pregnancy Statistics Machine learning Biology Geometry Genetics

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41598-023-43867-4
PDF: https://www.nature.com/articles/s41598-023-43867-4.pdf
OA Status: gold
Cited By: 17
References: 28
Related Works: 10
OpenAlex ID: https://openalex.org/W4387774293

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DOI: https://doi.org/10.1038/s41598-023-43867-4

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Title: Automatic biometry of fetal brain MRIs using deep and machine learning techniques

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-10-19

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Authors: Jiayan She, Haiying Huang, Zhijun Ye, Huang Wei, Yan Sun, Chuan Liu, Weilin Yang, Jiaxi Wang, Pengfei Ye, Lei Zhang, Gang Ning

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Landing page: https://doi.org/10.1038/s41598-023-43867-4

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Concepts: Correlation coefficient, Magnetic resonance imaging, Correlation, Pearson product-moment correlation coefficient, Segmentation, Artificial intelligence, Fetus, Biometrics, Gestational age, Nuclear medicine, Linear correlation, Computer science, Pattern recognition (psychology), Medicine, Biomedical engineering, Nuclear magnetic resonance, Mathematics, Physics, Radiology, Pregnancy, Statistics, Machine learning, Biology, Geometry, Genetics

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Cited by: 17

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Citations by year (recent): 2025: 9, 2024: 8

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