Value and prognostic impact of a deep learning segmentation model of COVID-19 lung lesions on low-dose chest CT.
第一作者:
Axel,Bartoli
第一单位:
Department of Radiology, Hôpital de la Timone Adultes, AP-HM. 264, rue Saint-Pierre, 13385 Marseille Cedex 05, France.;CRMBM - UMR CNRS 7339, Medical Faculty, Aix-Marseille University, 27, Boulevard Jean Moulin, 13385 Marseille Cedex 05, France.
作者:
关键词
ACE, angiotensin-converting enzymeArtificial intelligenceBMI, body mass indexCNN, convolutional neural networkCOVID-19COVID-19, coronavirus disease 2019CT-SS, chest tomography severity scoreCons, consolidationDL, deep learningDSC, Dice similarity coefficientDeep learningDiagnostic imagingGGO, ground-glass opacityICU, intensive care unitLDCT, low-dose computed tomographyMAE, mean absolute errorMVSF, mean volume similarity fractionMultidetector computed tomographyROC, receiver operating characteristic
DOI
10.1016/j.redii.2022.100003
PMID
37520010
发布时间
2023-10-20
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Research in diagnostic and interventional imaging
2022年1卷
100003页
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