标题
Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease
作者
关键词
-
出版物
Computational and Mathematical Methods in Medicine
Volume 2021, Issue -, Pages 1-10
出版商
Hindawi Limited
发表日期
2021-10-22
DOI
10.1155/2021/6919483
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。- Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
- (2021) Dina M. Ibrahim et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19
- (2021) Muhammad Irfan et al. International Journal of Environmental Research and Public Health
- COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images
- (2021) Ghulam Muhammad et al. Information Fusion
- Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
- (2021) Ebrahime Mohammed Senan et al. Journal of Healthcare Engineering
- Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
- (2020) Tao Ai et al. RADIOLOGY
- 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
- 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
- Impact of the Prevalence on the Predictive Positive Value of Chest CT in the Diagnosis of Coronavirus Disease (COVID-19)
- (2020) Guillaume Herpe et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- 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
- Chest-X-ray is a mainstay for follow-up in critically ill patients with covid-19 induced pneumonia
- (2020) Olivier de Barry et al. EUROPEAN JOURNAL OF RADIOLOGY
- A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images
- (2020) Qianqian Ni et al. EUROPEAN RADIOLOGY
- A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
- (2020) Xinggang Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation
- (2020) Hoon Ko et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network
- (2020) Shui-Hua Wang et al. Information Fusion
- Fractured aluminum nasopharyngeal swab during drive-through testing for COVID-19: radiographic detection of a retained foreign body
- (2020) Antoine Azar et al. SKELETAL RADIOLOGY
- Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT
- (2020) Liang Sun et al. IEEE Journal of Biomedical and Health Informatics
- COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
- (2020) S. Tabik et al. IEEE Journal of Biomedical and Health Informatics
- 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
- Convolutional neural network approach for automatic tympanic membrane detection and classification
- (2019) Erdal Başaran et al. Biomedical Signal Processing and Control
- Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
- (2018) Guotai Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Recent advances in convolutional neural networks
- (2018) Jiuxiang Gu et al. PATTERN RECOGNITION
- UP-CNN: Un-pooling augmented convolutional neural network
- (2017) Chunyan Xu et al. PATTERN RECOGNITION LETTERS
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