Development of a deep learning-based automatic detection model for gastroesophageal varices using transient elastography-Reference-Cited by-同舟云学术

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Development of a deep learning-based automatic detection model for gastroesophageal varices using transient elastography

Published:2024-09 Issue:3 Volume:17 Page:100994
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Gao Jian-song,Kong Zi-xiang,Wei Shu-fang,Liang Fei,Chen Xiao-xiao

Funder

Medical Science and Technology Project of Zhejiang Province

Publisher

Elsevier BV

Reference58 articles.

1. Liver and spleen elastography as predictor of portal hypertension and esophageal varices;Aquino-Matus;Minerva Gastroenterologica,2020

2. Interpretation of radiomics features–a pictorial review;Ardakani;Computer Methods and Programs in Biomedicine,2022

3. Prediction of the presence of esophageal varices using spleen stiffness measurement by transient elastography in cirrhotic patients;Arribas Anta;Acta Gastroenterol Belg,2018

4. Classification of Covid-19 patients using efficient fine-tuned deep learning DenseNet model;Bohmrah,2021

5. Predictive value of spleen stiffness in hepatocellular carcinoma;Buechter;Hepatobiliary Surgery and Nutrition,2020

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