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-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
Shui-Hua Wang et al.
INFORMATION FUSION (2021)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Ramprasaath R. Selvaraju et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases
Ioannis D. Apostolopoulos et al.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2020)
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Mesut Togacar et al.
COMPUTERS IN BIOLOGY AND MEDICINE (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)
Rapid identification of COVID-19 severity in CT scans through classification of deep features
Zekuan Yu et al.
BIOMEDICAL ENGINEERING ONLINE (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 Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis
Longxi Zhou 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)
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Yujin Oh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
Subhankar Roy 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)
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
Ling Zhao et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Towards explainable deep neural networks (xDNN)
Plamen Angelov et al.
NEURAL NETWORKS (2020)
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT
Liang Sun et al.
IEEE Journal of Biomedical and Health Informatics (2020)
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank
Yuexiang Li et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification
Zhao Wang et al.
IEEE Journal of Biomedical and Health Informatics (2020)
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks
Omneya Attallah et al.
PEERJ (2020)
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
Jianing Sun et al.
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (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)
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
Abdul Waheed et al.
IEEE ACCESS (2020)
DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach
Sadman Sakib et al.
IEEE ACCESS (2020)
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
Sivaramakrishnan Rajaraman et al.
IEEE ACCESS (2020)
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Michael J. Horry et al.
IEEE ACCESS (2020)
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury et al.
IEEE ACCESS (2020)
Application of deep transfer learning for automated brain abnormality classification using MR images
Muhammed Talo et al.
COGNITIVE SYSTEMS RESEARCH (2019)
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging
Juan M. Gorriz et al.
PATTERN RECOGNITION (2019)
Pathological brain detection based on AlexNet and transfer learning
Siyuan Lu et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2019)
A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images
Chenxi Huang et al.
IEEE ACCESS (2018)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
A Completed Modeling of Local Binary Pattern Operator for Texture Classification
Zhenhua Guo et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)
Face description with local binary patterns:: Application to face recognition
Timo Ahonen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)
分享论文
