Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Journal: Computational and mathematical methods in medicine

PMID: 35251299

Abstract

OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.

Authors

Haijin Wang

School of Nursing, Anhui Medical University, Hefei, China 230032.
Song Wang

Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.
Lihua Zhou

School of Nursing, Anhui Medical University, Hefei, China 230032.

Keywords

Adolescent Adult Aged Aged, 80 and over Bile Duct Neoplasms Case-Control Studies Cholangitis Computational Biology Female Humans Klatskin Tumor Liver Machine Learning Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Retrospective Studies Young Adult

External Resources

View on PubMed Access via DOI PubMed (35251299)

Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Abstract

Authors

Keywords

External Resources

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