Deep transfer learning to quantify pleural effusion severity in chest X-rays

被引：0
作者：
Tao Huang
Rui Yang
Longbin Shen
Aozi Feng
Li Li
Ningxia He
Shuna Li
Liying Huang
Jun Lyu
机构：
[1] The First Affiliated Hospital of Jinan University,Department of Clinical Research
[2] The First Affiliated Hospital of Jinan University,Department of Rehabilitation Medicine
[3] Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization,undefined
来源：
BMC Medical Imaging | / 22卷
关键词：
Pleural effusion; Severity; Deep learning; X-rays; Chest radiographs; MIMIC-CXR;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 173 条
[1]  
Liu K(2020)High accuracy detection of malignant pleural effusion based on label-free surface-enhanced Raman spectroscopy and multivariate statistical analysis Spectrochim Acta Part A Mol Biomol Spectrosc 226 117632-10
[2]  
Jin S(2021)Clinical characteristics of COVID-19 complicated with pleural effusion BMC Infect Dis 21 1-226
[3]  
Song Z(2008)Pleural fluid analysis Textb Pleur Dis 2 209-225
[4]  
Jiang L(1997)Pleural effusion as a predictor of severity in acute pancreatitis Pancreas 15 222-66
[5]  
Zhan N(2020)Advances in pleural effusion diagnostics Expert Rev Respir Med 14 51-1763
[6]  
Guo Y(2005)Quantitative assessment of pleural effusion in critically ill patients by means of ultrasonography Crit Care Med 33 1757-587
[7]  
Tian S(1999)Gas exchange and hemodynamics in experimental pleural effusion Crit Care Med 27 583-108
[8]  
Huang B(2002)Large pleural effusions producing signs of cardiac tamponade resolved by thoracentesis Am J Cardiol 89 106-32
[9]  
Tian X(2019)Utility of pleural effusion drainage in the ICU: an updated systematic review and META-analysis J Crit Care 52 22-850
[10]  
Zou J(2021)Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms Egypt J Radiol Nucl Med 52 145-534
12345678910