标题
Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images
作者
关键词
-
出版物
International Journal of Environmental Research and Public Health
Volume 18, Issue 15, Pages 8052
出版商
MDPI AG
发表日期
2021-07-29
DOI
10.3390/ijerph18158052
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network
- (2021) R. Murugan et al. Journal of Ambient Intelligence and Humanized Computing
- Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
- (2021) Tawsifur Rahman et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Future IoT tools for COVID ‐19 contact tracing and prediction: A review of the state‐of‐the‐science
- (2021) Vicnesh Jahmunah et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- COVID-19 classification using deep feature concatenation technique
- (2021) Waleed Saad et al. Journal of Ambient Intelligence and Humanized Computing
- Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks
- (2021) Ghulam Gilanie et al. Biomedical Signal Processing and Control
- Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
- (2021) Ali Narin et al. PATTERN ANALYSIS AND APPLICATIONS
- Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
- (2021) Danial Sharifrazi et al. Biomedical Signal Processing and Control
- Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method
- (2021) Guangyu Jia et al. COMPUTERS IN BIOLOGY AND MEDICINE
- COVID-19: Automatic detection from X-ray images by utilizing deep learning methods
- (2021) Bhawna Nigam et al. EXPERT SYSTEMS WITH APPLICATIONS
- COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images
- (2021) Ghulam Muhammad et al. Information Fusion
- COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks
- (2021) Wenqi Shi et al. IEEE Journal of Biomedical and Health Informatics
- Machine learning method based detection and diagnosis for epilepsy in EEG signal
- (2020) S. Deivasigamani et al. Journal of Ambient Intelligence and Humanized Computing
- Introducing the 21st Century's New Four Horsemen of the Coronapocalypse
- (2020) Kang Hao Cheong et al. BIOESSAYS
- Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
- (2020) Turker Tuncer et al. Biomedical Signal Processing and Control
- A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis
- (2020) Shuo Wang et al. EUROPEAN RESPIRATORY JOURNAL
- Detection of SARS-CoV-2 in Different Types of Clinical Specimens
- (2020) Wenling Wang et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- High-resolution computed tomographic imaging disclosing COVID-19 pneumonia: A powerful tool in diagnosis
- (2020) Zili Zhang et al. JOURNAL OF INFECTION
- Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
- (2020) Mohamed Loey et al. Symmetry-Basel
- An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image
- (2020) Turker Tuncer et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Automated detection of COVID-19 cases using deep neural networks with X-ray images
- (2020) Tulin Ozturk et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
- (2020) Aayush Jaiswal et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
- (2020) Asmaa Abbas et al. APPLIED INTELLIGENCE
- Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
- (2020) Narinder Singh Punn et al. APPLIED INTELLIGENCE
- Superposition of COVID‐19 waves, anticipating a sustained wave, and lessons for the future
- (2020) Joel Weijia Lai et al. BIOESSAYS
- COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
- (2020) Rodolfo M. Pereira et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Relieving Cost of Epidemic by Parrondo's Paradox: A COVID‐19 Case Study
- (2020) Kang Hao Cheong et al. Advanced Science
- Attention-based VGG-16 model for COVID-19 chest X-ray image classification
- (2020) Chiranjibi Sitaula et al. APPLIED INTELLIGENCE
- CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
- (2020) Emtiaz Hussain et al. CHAOS SOLITONS & FRACTALS
- Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients
- (2020) Roohallah Alizadehsani et al. JOURNAL OF MEDICAL VIROLOGY
- Multimodel Feature Reinforcement Framework Using Moore–Penrose Inverse for Big Data Analysis
- (2020) Wandong Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals
- (2019) Turker Tuncer et al. KNOWLEDGE-BASED SYSTEMS
- Encoding Pose Features to Images With Data Augmentation for 3-D Action Recognition
- (2019) Thien Huynh-The et al. IEEE Transactions on Industrial Informatics
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- Effect of fusing features from multiple DCNN architectures in image classification
- (2018) Thangarajah Akilan et al. IET Image Processing
- A Comparative Study of Existing Machine Learning Approaches for Parkinson's Disease Detection
- (2018) Gunjan Pahuja et al. IETE JOURNAL OF RESEARCH
- Estimation for finite mixture of simplex models: applications to biomedical data
- (2017) Freddy Omar López Quintero et al. STATISTICAL MODELLING
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