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COVID-19 Identification from Chest X-rays
Iosif Mporas
, Prasitthichai Naronglerdrit
Centre for Engineering Research
BioEngineering
Communications and Intelligent Systems
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Networks and Security Research Centre
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
23
Citations (Scopus)
Overview
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Keyphrases
Artificial Data
50%
Artificial Intelligence
50%
Chest X-ray
100%
Chest X-ray Images
100%
COVID-19 Detection
50%
COVID-19 Identification
100%
COVID-19 Positive
50%
Data Science
50%
Deep CNN Models
50%
Deep Learning
50%
DenseNet Model
50%
Detection Device
50%
Diagnostic Tool
50%
Global Response
50%
Intelligence Science
50%
Novel Coronavirus COVID-19
50%
Publicly Available Dataset
50%
Rapid Diagnostic Test
50%
ResNet Model
50%
Scientific Community
50%
Transfer Learning
50%
X-ray
50%
Xception Model
50%
Physics
Artificial Intelligence
100%
Convolutional Neural Network
100%
Deep Learning Method
100%
Chemical Engineering
Artificial Intelligence
100%
Deep Learning Method
100%