Related references
Note: Only part of the references are listed.Machine Learning Model Based on Radiomic Features for Differentiation between COVID-19 and Pneumonia on Chest X-ray
Young Jae Kim
SENSORS (2022)
Severity Assessment of COVID-19 Based on Feature Extraction and V-Descriptors
Ben Ye et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
Shuai Wang et al.
EUROPEAN RADIOLOGY (2021)
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans
Mohamed Abdel-Basset et al.
PATTERN RECOGNITION LETTERS (2021)
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms
Edson D. Carvalho et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study
Peiliang Wu et al.
IEEE ACCESS (2021)
Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study
Wei Zhao et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2020)
An interactive web-based dashboard to track COVID-19 in real time
Ensheng Dong et al.
LANCET INFECTIOUS DISEASES (2020)
A new coronavirus associated with human respiratory disease in China
Fan Wu et al.
NATURE (2020)
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
Tao Ai et al.
RADIOLOGY (2020)
COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia
Mengqi Liu et al.
EUROPEAN RADIOLOGY (2020)
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai et al.
RADIOLOGY (2020)
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT
Harrison X. Bai et al.
RADIOLOGY (2020)
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
Lin Li et al.
RADIOLOGY (2020)
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
Xi Ouyang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
Xinggang Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
Zhongyi Han et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
Johannes Hofmanninger et al.
EUROPEAN RADIOLOGY EXPERIMENTAL (2020)
GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing
Po Yang et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2016)