Skip to main navigation
Skip to search
Skip to main content
University of Nottingham Ningbo China Home
Home
Profiles
Research units
Research output
Projects
Prizes
Activities
Impacts
Student theses
Search by expertise, name or affiliation
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
Fingerprint
Fingerprint
Dive into the research topics of 'COVID-19 Diagnosis on Chest Radiographs with Enhanced Deep Neural Networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Deep Neural Network
100%
Chest Radiograph
100%
COVID-19 Diagnosis
100%
Enhanced Deep Neural Network
100%
DenseNet201
75%
COVID-19
50%
Excellent Performance
25%
COVID-19 Pandemic
25%
Coronavirus Disease (COVID)
25%
Deep Learning
25%
Publicly Available
25%
Feature Extraction
25%
Detection Task
25%
ResNet50
25%
Training Model
25%
Data Augmentation
25%
Overfitting
25%
X-ray
25%
F1 Score
25%
Social Activity
25%
VGG16
25%
COVID-19 Patients
25%
Unbalanced Sample
25%
COVID-19 Cases
25%
Chest X-ray Images
25%
COVID-19 Detection
25%
MobileNet
25%
Early Stopping
25%
Class Weights
25%
Social Economy
25%
Underfitting
25%
Sensitivity Rate
25%
Non-COVID-19
25%
Computer Science
Deep Neural Network
100%
Deep Learning
20%
Feature Extraction
20%
Data Augmentation
20%
Social Activity
20%
Outstanding Performance
20%
ResNet50
20%
Chemical Engineering
Deep Neural Network
100%
Deep Learning
20%
Psychology
Neural Network
100%
Social Activity
20%
Material Science
X Ray Film
100%
Engineering
Rate Sensitivity
20%