Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methods
出版年份 2021 全文链接
标题
Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methods
作者
关键词
COVID-19, X-ray, Deep features, Feature selection, PSO, ACO
出版物
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 137, Issue -, Pages 104771
出版商
Elsevier BV
发表日期
2021-08-19
DOI
10.1016/j.compbiomed.2021.104771
参考文献
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。- 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
- COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review
- (2021) Amir Rehman et al. Applied Sciences-Basel
- Diagnosis of SARS-CoV-2 Infection based on CT scan vs. RT-PCR: Reflecting on Experience from MERS-CoV
- (2020) Jaffar A. Al-Tawfiq et al. JOURNAL OF HOSPITAL INFECTION
- Nervous system involvement after infection with COVID-19 and other coronaviruses
- (2020) Yeshun Wu et al. BRAIN BEHAVIOR AND IMMUNITY
- Clinical Pathway for Early Diagnosis of COVID-19: Updates from Experience to Evidence-Based Practice
- (2020) Guogang Xu et al. CLINICAL REVIEWS IN ALLERGY & IMMUNOLOGY
- Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features
- (2020) Ali M. Hasan et al. Entropy
- Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases
- (2020) Ioannis D. Apostolopoulos et al. Journal of Medical and Biological Engineering
- Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis
- (2020) Giuseppe Lippi et al. CLINICA CHIMICA ACTA
- COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
- (2020) Mesut Toğaçar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automated detection of COVID-19 cases using deep neural networks with X-ray images
- (2020) Tulin Ozturk et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
- (2020) Deng-Ping Fan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
- (2020) Ho Yuen Frank Wong et al. RADIOLOGY
- Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
- (2020) Mesut Toğaçar et al. APPLIED SOFT COMPUTING
- Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
- (2020) Samuel Lalmuanawma et al. CHAOS SOLITONS & FRACTALS
- Classification of Coronavirus ( COVID ‐19) from X‐ray and CT images using shrunken features
- (2020) Şaban Öztürk et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
- (2020) Emtiaz Hussain et al. CHAOS SOLITONS & FRACTALS
- Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
- (2020) Tej Bahadur Chandra et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep learning approaches for COVID-19 detection based on chest X-ray images
- (2020) Aras M. Ismael et al. EXPERT SYSTEMS WITH APPLICATIONS
- Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
- (2019) Zifeng Wu et al. PATTERN RECOGNITION
- EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
- (2019) Muhammad Adeel Asghar et al. SENSORS
- A new feature selection method to improve the document clustering using particle swarm optimization algorithm
- (2018) Laith Mohammad Abualigah et al. Journal of Computational Science
- Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
- (2017) U. Rajendra Acharya et al. COMPUTERS IN BIOLOGY AND MEDICINE
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
- (2013) Bing Xue et al. APPLIED SOFT COMPUTING
- Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
- (2009) J.D. Rodriguez et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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