相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Noninterpretive Uses of Artificial Intelligence in Radiology
Michael L. Richardson et al.
ACADEMIC RADIOLOGY (2021)
Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images
Maxime Blain et al.
DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY (2021)
Clinical and Chest Radiography Features Determine Patient Outcomes in Young and Middle-aged Adults with COVID-19
Danielle Toussie et al.
RADIOLOGY (2020)
Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs
Jocelyn Zhu et al.
PLOS ONE (2020)
Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome
Diletta Cozzi et al.
RADIOLOGIA MEDICA (2020)
Racial and Ethnic Disparities in Disease Severity on Admission Chest Radiographs among Patients Admitted with Confirmed Coronavirus Disease 2019: A Retrospective Cohort Study
Nicholos P. Joseph et al.
RADIOLOGY (2020)
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Ho Yuen Frank Wong et al.
RADIOLOGY (2020)
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks
Matthew D. Li et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)
The role of initial chest X-ray in triaging patients with suspected COVID-19 during the pandemic
Hyunjoong W. Kim et al.
EMERGENCY RADIOLOGY (2020)
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
Matthew D. Li et al.
NPJ DIGITAL MEDICINE (2020)
Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS
Melissa A. Warren et al.
THORAX (2018)
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
John R. Zech et al.
PLOS MEDICINE (2018)
分享论文
