COVID-19 Screening Using a Lightweight Convolutional Neural Network with Generative Adversarial Network Data Augmentation
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
COVID-19 Screening Using a Lightweight Convolutional Neural Network with Generative Adversarial Network Data Augmentation
Authors
Keywords
-
Journal
Symmetry-Basel
Volume 12, Issue 9, Pages 1530
Publisher
MDPI AG
Online
2020-09-16
DOI
10.3390/sym12091530
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Application of Deep Learning for Fast Detection of COVID-19 in X-Rays using nCOVnet
- (2020) Harsh Panwar et al. CHAOS SOLITONS & FRACTALS
- 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
- COVID-19 pneumonia: A review of typical CT findings and differential diagnosis
- (2020) C. Hani et al. Diagnostic and Interventional Imaging
- Dynamic change process of target genes by RT-PCR testing of SARS-Cov-2 during the course of a Coronavirus Disease 2019 patient
- (2020) Ding-feng Lv 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
- CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization
- (2020) Tanvir Mahmud 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
- Novel coronavirus SARS-CoV-2 and COVID-19. Practice recommendations for obstetric anaesthesia: what we have learned thus far
- (2020) S. Bampoe et al. INTERNATIONAL JOURNAL OF OBSTETRIC ANESTHESIA
- Development of Reverse Transcription Loop-Mediated Isothermal Amplification Assays Targeting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
- (2020) Gun-Soo Park et al. JOURNAL OF MOLECULAR DIAGNOSTICS
- COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
- (2020) Ferhat Ucar et al. MEDICAL HYPOTHESES
- Incidental diagnosis of Covid-19 pneumonia on chest computed tomography
- (2020) S. Neveu et al. Diagnostic and Interventional Imaging
- 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
- Pterygium-Net: a deep learning approach to pterygium detection and localization
- (2019) Mohd Asyraf Zulkifley et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Multiple-Model Fully Convolutional Neural Networks for Single Object Tracking on Thermal Infrared Video
- (2018) Mohd Asyraf Zulkifley et al. IEEE Access
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Reading and interpretation of chest X-ray in adults with community-acquired pneumonia
- (2012) Diana Carolina Moncada et al. Brazilian Journal of Infectious Diseases
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started