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。Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays
N. Narayan Das et al.
IRBM (2022)
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas et al.
APPLIED INTELLIGENCE (2021)
A critic evaluation of methods for COVID-19 automatic detection from X-ray images
Gianluca Maguolo et al.
INFORMATION FUSION (2021)
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection
Jianpeng Zhang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
Ali Narin et al.
PATTERN ANALYSIS AND APPLICATIONS (2021)
Emergence of a Novel Coronavirus Disease (COVID-19) and the Importance of Diagnostic Testing: Why Partnership between Clinical Laboratories, Public Health Agencies, and Industry Is Essential to Control the Outbreak
Matthew J. Binnicker
CLINICAL CHEMISTRY (2020)
A Familial Cluster of Infection Associated With the 2019 Novel Coronavirus Indicating Possible Person-to-Person Transmission During the Incubation Period
Ping Yu et al.
JOURNAL OF INFECTIOUS DISEASES (2020)
The reproductive number of COVID-19 is higher compared to SARS coronavirus
Ying Liu et al.
JOURNAL OF TRAVEL MEDICINE (2020)
DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs
Rajeev Kumar Singh et al.
PLOS ONE (2020)
Essentials for Radiologists on COVID-19: An Update-Radiology Scientific Expert Panel
Jeffrey P. Kanne et al.
RADIOLOGY (2020)
The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application
Stephen A. Lauer et al.
ANNALS OF INTERNAL MEDICINE (2020)
Coronavirus (COVID-19) Outbreak: What the Department of Radiology Should Know
Soheil Kooraki et al.
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2020)
Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays
Nikos Tsiknakis et al.
EXPERIMENTAL AND THERAPEUTIC MEDICINE (2020)
Artificial intelligence-enabled rapid diagnosis of patients with COVID-19
Xueyan Mei et al.
NATURE MEDICINE (2020)
Temporal dynamics in viral shedding and transmissibility of COVID-19
Xi He et al.
NATURE MEDICINE (2020)
Critical Supply Shortages - The Need for Ventilators and Personal Protective Equipment during the Covid-19 Pandemic
Megan L. Ranney et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility
M. M. Arons et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Chest CT Imaging Signature of Coronavirus Disease 2019 Infection In Pursuit of the Scientific Evidence
Hugo J. A. Adams et al.
CHEST (2020)
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Tulin Ozturk et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Yujin Oh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
Ferhat Ucar et al.
MEDICAL HYPOTHESES (2020)
Accelerating Development of SARS-CoV-2 Vaccines - The Role for Controlled Human Infection Models
Meagan E. Deming et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Ho Yuen Frank Wong et al.
RADIOLOGY (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)
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Asif Iqbal Khan et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Luca Brunese et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Ioannis D. Apostolopoulos et al.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2020)
Cluster of Coronavirus Disease Associated with Fitness Dance Classes, South Korea
Sukbin Jang et al.
EMERGING INFECTIOUS DISEASES (2020)
Potential Presymptomatic Transmission of SARS-CoV-2, Zhejiang Province, China, 2020
Zhen-Dong Tong et al.
EMERGING INFECTIOUS DISEASES (2020)
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury et al.
IEEE ACCESS (2020)
Explanation in artificial intelligence: Insights from the social sciences
Tim Miller
ARTIFICIAL INTELLIGENCE (2019)
Identifying pneumonia in chest X-rays: A deep learning approach
Amit Kumar Jaiswal et al.
MEASUREMENT (2019)
Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach
Rohan Gorantla et al.
2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) (2019)
Survey on deep learning with class imbalance
Justin M. Johnson et al.
JOURNAL OF BIG DATA (2019)
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
Hao Chen et al.
NEUROIMAGE (2018)
Learning from class-imbalanced data: Review of methods and applications
Guo Haixiang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Brain tumor segmentation with Deep Neural Networks
Mohammad Havaei et al.
MEDICAL IMAGE ANALYSIS (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Sergio Pereira et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
Michiel Kallenberg et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans
Jie-Zhi Cheng et al.
SCIENTIFIC REPORTS (2016)
Learning from imbalanced data: open challenges and future directions
Bartosz Krawczyk
PROGRESS IN ARTIFICIAL INTELLIGENCE (2016)
Deep learning with non-medical training used for chest pathology identification
Yaniv Bar et al.
MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS (2015)
Risk in Vaccine Research and Development Quantified
Esther S. Pronker et al.
PLOS ONE (2013)
Interrater reliability: the kappa statistic
Mary L. McHugh
BIOCHEMIA MEDICA (2012)
Non-Local Means Denoising
Antoni Buades et al.
IMAGE PROCESSING ON LINE (2011)
Cluster-based under-sampling approaches for imbalanced data distributions
Show-Jane Yen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Estimates of the reproduction numbers of Spanish influenza using morbidity data
Emilia Vynnycky et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2007)
Stacked generalisation: a novel solution to bridge the semantic gap for content-based image retrieval
CF Tsai
ONLINE INFORMATION REVIEW (2003)
Adaptive image contrast enhancement using generalizations of histogram equalization
JA Stark
IEEE TRANSACTIONS ON IMAGE PROCESSING (2000)
分享论文
