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Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion

Lingzhi Kong, Jinyong Cheng

2022Biomedical Signal Processing and Control95 citationsDOIOpen Access PDF

Topics & Concepts

Convolutional neural networkArtificial intelligenceComputer scienceFeature (linguistics)Block (permutation group theory)Pattern recognition (psychology)Deep learningCoronavirus disease 2019 (COVID-19)Local binary patternsBinary classificationResidualContextual image classificationImage (mathematics)Support vector machineAlgorithmMathematicsMedicineDiseaseHistogramInfectious disease (medical specialty)GeometryPathologyPhilosophyLinguisticsCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAI in cancer detection
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion | Litcius