Automatic deep learning method for analysis and prediction of neonatal hyperbilirubinemia in magnetic resonance imaging

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-11-11
DOI
https://doi.org/10.21037/qims-24-1050
Primary Topic
Neonatal Health and Biochemistry
Type
article
Field-Weighted Citation Impact
0.00

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article

Automatic deep learning method for analysis and prediction of neonatal hyperbilirubinemia in magnetic resonance imaging

Yitong He, Lijuan Yang, Xu Li, Mingmin Zhang et al.
Quantitative Imaging in Medicine and Surgery
Neonatal Health and Biochemistry
article

Automatic deep learning method for analysis and prediction of neonatal hyperbilirubinemia in magnetic resonance imaging

Yitong He, Lijuan Yang, Xu Li, Mingmin Zhang, Hai-dong Meng
article en

Abstract

No abstract available for this paper.
Quantitative Imaging in Medicine and SurgeryVol. 14(12)
Inner Mongolia University of Science and Technology (CN), Northwest University (CN), The Fourth People's Hospital (CN), Baotou Central Hospital (CN), Baotou Medical College (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 69%
Neonatal Health and Biochemistry
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