Fully connected neural network-based serum surface-enhanced Raman spectroscopy accurately identifies non-alcoholic steatohepatitis

被引：0
|
作者：
Feng Gao
De-Chan Lu
Tian-Lei Zheng
Shi Geng
Jun-Cheng Sha
Ou-Yang Huang
Liang-Jie Tang
Pei-Wu Zhu
Yang-Yang Li
Li-Li Chen
Giovanni Targher
Christopher D. Byrne
Zu-Fang Huang
Ming-Hua Zheng
机构：
[1] The First Affiliated Hospital of Wenzhou Medical University,Department of Gastroenterology
[2] Fujian Normal University,Key Laboratory of Opto
[3] Affiliated Hospital of Xuzhou Medical University,Electronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology
[4] China University of Mining and Technology,Artificial Intelligence Unit, Department of Medical Equipment Management
[5] Affiliated Hospital of Xuzhou Medical University,School of Information and Control Engineering
[6] The First Affiliated Hospital of Wenzhou Medical University,Interventional Radiology
[7] The First Affiliated Hospital of Wenzhou Medical University,NAFLD Research Center, Department of Hepatology
[8] The First Affiliated Hospital of Wenzhou Medical University,Department of Laboratory Medicine
[9] University and Azienda Ospedaliera Universitaria Integrata of Verona,Department of Pathology
[10] Southampton General Hospital,Section of Endocrinology, Diabetes and Metabolism, Department of Medicine
[11] Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province,Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton
[12] Wenzhou Medical University,Institute of Hepatology
来源：
Hepatology International | 2023年 / 17卷
关键词：
NAFLD (non-alcoholic fatty liver disease); NASH (non-alcoholic steatohepatitis); Raman; SERS (surface-enhanced Raman spectroscopy);
D O I：
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中图分类号：
学科分类号：
摘要：
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页码：339 / 349
页数：10
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