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。Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China
Jin-jin Zhang et al.
ALLERGY (2020)
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)
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China
Dawei Wang et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang et al.
LANCET (2020)
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Heshui Shi et al.
LANCET INFECTIOUS DISEASES (2020)
Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist
Jeffrey P. Kanne
RADIOLOGY (2020)
Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing
Xingzhi Xie et al.
RADIOLOGY (2020)
Time Course of Lung Changes a Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19 )
Feng Pan et al.
RADIOLOGY (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)
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Michael Chung et al.
RADIOLOGY (2020)
Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan A Retrospective Observational Study
Yingzhen Du et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2020)
Eosinophil responses during COVID-19 infections and coronavirus vaccination
Andrew W. Lindsley et al.
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY (2020)
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
Linda Wang et al.
SCIENTIFIC REPORTS (2020)
MRI-based radiomics signature for tumor grading of rectal carcinoma using random forest model
Bo He et al.
JOURNAL OF CELLULAR PHYSIOLOGY (2019)
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen et al.
CANCER RESEARCH (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
e Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas
Julien G. Cohen et al.
EUROPEAN RADIOLOGY (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation
Ernst Th. Scholten et al.
EUROPEAN RADIOLOGY (2015)
Evaluating Random Forests for Survival Analysis Using Prediction Error Curves
Ulla B. Mogensen et al.
Journal of Statistical Software (2015)
Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting
C. Lindner et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)
Emerging H7N9 Influenza A (Novel Reassortant Avian-Origin) Pneumonia: Radiologic Findings
Qingle Wang et al.
RADIOLOGY (2013)