Deep CNN models for predicting COVID-19 in CT and x-ray images
Ahmad Chaddad, Lama Hassan, Christian Desrosiers
Abstract
Purpose: Coronavirus disease 2019 (COVID-19) is a new infection that has spread worldwide and with no automatic model to reliably detect its presence from images. We aim to investigate the potential of deep transfer learning to predict COVID-19 infection using chest computed tomography (CT) and x-ray images.
Topics & Concepts
MedicineCoronavirus disease 2019 (COVID-19)Convolutional neural networkArtificial intelligenceReceiver operating characteristicArea under curveDeep learningSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Pattern recognition (psychology)Nuclear medicinePneumoniaComputed tomographyRadiologyPathologyComputer scienceDiseaseInternal medicineInfectious disease (medical specialty)PharmacokineticsCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAI in cancer detection