Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics

The combined diagnostic model constructed using machine learning algorithms based on ultrasound image radiomics has a high clinical predictive performance in diagnosing Non-Alcoholic Steatohepatitis.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-08-20
DOI
https://doi.org/10.1186/s12880-024-01398-y
Citations
3
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.16
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article

Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics

Yayang Duan, Chaoxue Zhang, Junli Wang, Kun Wang et al.
3 citations
BMC Medical Imaging
Liver Disease Diagnosis and Treatment
1.16
article

Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics

Yayang Duan, Chaoxue Zhang, Junli Wang, Kun Wang, Fei Xia, Wei Wei
article en
3 citations

Abstract

The combined diagnostic model constructed using machine learning algorithms based on ultrasound image radiomics has a high clinical predictive performance in diagnosing Non-Alcoholic Steatohepatitis.

BMC Medical ImagingVol. 24(1)
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), First Affiliated Hospital of Wannan Medical College (CN), East China Normal University (CN)
Good health and well-being
Openalex Percentile: Top 20%
Liver Disease Diagnosis and Treatment
1.16
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