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A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection

Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh

2021Expert Systems with Applications35 citationsDOIOpen Access PDF

Topics & Concepts

HistogramArtificial intelligenceComputer sciencePattern recognition (psychology)AutoencoderRepresentation (politics)Anomaly detectionCoronavirus disease 2019 (COVID-19)Convolutional neural networkNoise reductionImage (mathematics)Computer visionDeep learningDiseaseMedicinePathologyLawPoliticsInfectious disease (medical specialty)Political scienceCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsAI in cancer detection
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection | Litcius