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Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images

Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, Ghassan Hamarneh

2021Computers in Biology and Medicine68 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceArtificial intelligenceRobustness (evolution)Convolutional neural networkDeep learningPattern recognition (psychology)Noise (video)OverfittingGeneralizability theoryGaussian noiseSource codeArtificial neural networkImage (mathematics)MathematicsBiochemistryChemistryOperating systemGeneStatisticsCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsSeismology and Earthquake Studies
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images | Litcius