Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study

被引：0
作者：
Eui Jin Hwang
Jong Hyuk Lee
Jae Hyun Kim
Woo Hyeon Lim
Jin Mo Goo
Chang Min Park
机构：
[1] Seoul National University College of Medicine,Department of Radiology
[2] Namwon Medical Center,Institute of Medical and Biological Engineering, Medical Research Center
[3] Seoul National University,undefined
来源：
BMC Pulmonary Medicine | / 21卷
关键词：
Radiography; Thoracic; Deep learning; Artificial intelligence; Pneumonia; Febrile neutropenia;
D O I：
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[31]  
Nastoupil LJ(2020)Implementation of a deep learning-based computer-aided detection system for the interpretation of chest radiographs in patients suspected for COVID-19 Korean J Radiol 21 1150-undefined
[32]  
Rajotte M(2017)Improving early diagnosis of pulmonary infections in patients with febrile neutropenia using low-dose chest computed tomography PLoS ONE 12 e0172256-undefined
[33]  
Rolston K(2010)Chest low-dose computed tomography in neutropenic acute myeloid leukaemia patients Respir Med 104 600-undefined
[34]  
Yoshida M(2018)The value of supine chest X-ray in the diagnosis of pneumonia in the basal lung zones Acad Radiol 25 1252-undefined
[35]  
Akiyama N(2010)Differentiation of pleural effusions from parenchymal opacities: accuracy of bedside chest radiography AJR Am J Roentgenol 194 407-undefined
[36]  
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[37]  
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[38]  
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[39]  
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[40]  
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