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COVID-19 Diagnosis on Chest Radiographs with Enhanced Deep Neural Networks
Chin Poo Lee,
Kian Ming Lim
Research output
:
Journal Publication
›
Article
›
peer-review
4
Citations (Scopus)
Overview
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Keyphrases
Chest Radiograph
100%
Chest X-ray Images
25%
Class Weights
25%
Coronavirus Disease (COVID)
25%
COVID-19
50%
COVID-19 Cases
25%
COVID-19 Detection
25%
COVID-19 Diagnosis
100%
COVID-19 Pandemic
25%
COVID-19 Patients
25%
Data Augmentation
25%
Deep Learning
25%
Deep Neural Network
100%
DenseNet201
75%
Detection Task
25%
Early Stopping
25%
Enhanced Deep Neural Network
100%
Excellent Performance
25%
F1 Score
25%
Feature Extraction
25%
MobileNet
25%
Non-COVID-19
25%
Overfitting
25%
Publicly Available
25%
ResNet50
25%
Sensitivity Rate
25%
Social Activity
25%
Social Economy
25%
Training Model
25%
Unbalanced Sample
25%
Underfitting
25%
VGG16
25%
X-ray
25%
Computer Science
Data Augmentation
20%
Deep Learning
20%
Deep Neural Network
100%
Feature Extraction
20%
Outstanding Performance
20%
ResNet50
20%
Social Activity
20%
Chemical Engineering
Deep Learning
20%
Deep Neural Network
100%
Psychology
Neural Network
100%
Social Activity
20%
Material Science
X Ray Film
100%
Engineering
Rate Sensitivity
20%