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。COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
Hayden Gunraj et al.
FRONTIERS IN MEDICINE (2022)
CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China
Shuchang Zhou et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (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)
Clinical Characteristics of Coronavirus Disease 2019 in China
W. Guan et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Yicheng Fang 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)
Canadian Society of Thoracic Radiology/Canadian Association of Radiologists Consensus Statement Regarding Chest Imaging in Suspected and Confirmed COVID-19
Carole Dennie et al.
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES (2020)
The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic A Multinational Consensus Statement From the Fleischner Society
Geoffrey D. Rubin et al.
CHEST (2020)
A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic
A. Nair et al.
CLINICAL RADIOLOGY (2020)
Mobile X-rays are highly valuable for critically ill COVID patients
Gang Wu et al.
EUROPEAN RADIOLOGY (2020)
COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression
Andrea Borghesi et al.
RADIOLOGIA MEDICA (2020)
Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
Adam Jacobi et al.
CLINICAL IMAGING (2020)
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Ho Yuen Frank Wong et al.
RADIOLOGY (2020)
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images
Hayden Gunraj et al.
FRONTIERS IN MEDICINE (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)
Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study
Bei Mao et al.
LANCET DIGITAL HEALTH (2020)
Chest Imaging Appearance of COVID-19 Infection
Weifang Kong et al.
RADIOLOGY-CARDIOTHORACIC IMAGING (2020)
Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS
Melissa A. Warren et al.
THORAX (2018)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
Monte Carlo cross validation
QS Xu et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)
分享论文
