A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
Qian Li, Jiangbo Ning, J. P. Yuan, Xiao Ling
Topics & Concepts
OverfittingConvolutional neural networkComputer scienceBlock (permutation group theory)Convolution (computer science)Coronavirus disease 2019 (COVID-19)Separable spaceArtificial intelligenceFeature (linguistics)Pattern recognition (psychology)Transmission (telecommunications)Data miningArtificial neural networkMedicineMathematicsDiseasePathologyTelecommunicationsInfectious disease (medical specialty)PhilosophyMathematical analysisLinguisticsGeometryCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education