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From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

Zhang Li, Zhong Zheng, Yang Li, Tianyu Zhang, Liangxin Gao, Dakai Jin, Yue Sun, Xianghua Ye, Li Yu, Zhe-Yu Hu, Jing Xiao, Lingyun Huang, Yuling Tang

2020European Radiology114 citationsDOIOpen Access PDF

Topics & Concepts

NeuroradiologyMedicineRadiologyCoronavirus disease 2019 (COVID-19)Sørensen–Dice coefficientInterventional radiologyPneumoniaReceiver operating characteristicCohen's kappaLungNuclear medicineKappaSegmentationComputed tomographyPathologyArtificial intelligenceImage segmentationDiseaseInternal medicineNeurologyInfectious disease (medical specialty)Machine learningComputer scienceLinguisticsPsychiatryPhilosophyCOVID-19 diagnosis using AICOVID-19 Clinical Research StudiesUltrasound in Clinical Applications
From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans | Litcius