COVID-19 Detection in Chest X-ray Images Using a New Channel Boosted CNN
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
COVID-19 Detection in Chest X-ray Images Using a New Channel Boosted CNN
Authors
Keywords
-
Journal
Diagnostics
Volume 12, Issue 2, Pages 267
Publisher
MDPI AG
Online
2022-01-21
DOI
10.3390/diagnostics12020267
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
- (2021) Shuai Wang et al. EUROPEAN RADIOLOGY
- Gene signatures and potential therapeutic targets of Middle East respiratory syndrome coronavirus (MERS-CoV)-infected human lung adenocarcinoma epithelial cells
- (2021) Yen-Hung Wu et al. JOURNAL OF MICROBIOLOGY IMMUNOLOGY AND INFECTION
- A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
- (2021) Anabia Sohail et al. Scientific Reports
- Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
- (2021) Karim Hammoudi et al. JOURNAL OF MEDICAL SYSTEMS
- Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China
- (2021) Jiancheng Dong et al. JOURNAL OF MEDICAL SYSTEMS
- Tracking COVID Vaccine Mandates, Outcomes, and Case Rates: Leveraging Informatics to Support the COVID Response
- (2021) Vrushab Gowda et al. JOURNAL OF MEDICAL SYSTEMS
- Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
- (2021) Anabia Sohail et al. MEDICAL IMAGE ANALYSIS
- Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
- (2021) Saddam Hussain Khan et al. Photodiagnosis and Photodynamic Therapy
- A Deep Learning Approach with Data Augmentation to Predict Novel Spider Neurotoxic Peptides
- (2021) Byungjo Lee et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning
- (2021) Muhammad Asam et al. Applied Sciences-Basel
- A Machine Learning Application to Predict Early Lung Involvement in Scleroderma: A Feasibility Evaluation
- (2021) Giuseppe Murdaca et al. Diagnostics
- COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images
- (2021) Shamima Akter et al. Biology-Basel
- Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN
- (2021) Muhammad Mohsin Zafar et al. Photodiagnosis and Photodynamic Therapy
- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- 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
- A survey of the recent architectures of deep convolutional neural networks
- (2020) Asifullah Khan et al. ARTIFICIAL INTELLIGENCE REVIEW
- Detection of SARS-CoV-2 in Different Types of Clinical Specimens
- (2020) Wenling Wang et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Clinical characteristics of severe acute respiratory syndrome coronavirus 2 reactivation
- (2020) Guangming Ye et al. JOURNAL OF INFECTION
- Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review
- (2020) A. S. Albahri et al. JOURNAL OF MEDICAL 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
- Discovering genomic patterns in SARS‐CoV‐2 variants
- (2020) Gianni D'Angelo et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- COVID-19 Testing
- (2020) Colin P. West et al. MAYO CLINIC PROCEEDINGS
- Efficacy of Corticosteroids in Patients with SARS, MERS and COVID-19: A Systematic Review and Meta-Analysis
- (2020) Keum Hwa Lee et al. Journal of Clinical Medicine
- COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses
- (2020) Muhammad Adnan Shereen et al. Journal of Advanced Research
- Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
- (2020) Shervin Minaee et al. MEDICAL IMAGE ANALYSIS
- COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images
- (2020) Parnian Afshar et al. PATTERN RECOGNITION LETTERS
- Chest x-ray findings and temporal lung changes in patients with COVID-19 pneumonia
- (2020) Liqa A. Rousan et al. BMC Pulmonary Medicine
- Deep convolutional neural network Inception-v3 model for differential diagnosing of lymph node in cytological images: a pilot study
- (2019) Qing Guan et al. Annals of Translational Medicine
- Network anomaly detection using channel boosted and residual learning based deep convolutional neural network
- (2019) Naveed Chouhan et al. APPLIED SOFT COMPUTING
- Identifying pneumonia in chest X-rays: A deep learning approach
- (2019) Amit Kumar Jaiswal et al. MEASUREMENT
- Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method
- (2018) Hwejin Jung et al. BMC MEDICAL IMAGING
- Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis
- (2017) Stergios Christodoulidis et al. IEEE Journal of Biomedical and Health Informatics
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More