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
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