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Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) versus Normal Lung

CITE Title : Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) versus Normal Lung Personal Author(s) : Chan, Kung-Sik;Jiao, Feiran;Mikulski, Marek A.;Gerke, Alicia;Guo, Junfeng;Newell, John D;Hoffman, Eric A.;Thompson, Brad;Lee, Chang Hyun;Fuortes, Laurence J.; Published Date : Jan 08 2016 Source : Acad Radiol. 23(3):304-314. URL : https://stacks.cdc.gov/view/cdc/42090 Chan, Kung-Sik et al. (2016). Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) versus Normal Lung. 23(3). Chan, Kung-Sik et al. "Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) versus Normal Lung" 23, no. 3 (2016) Chan, Kung-Sik et al. "Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) versus Normal Lung" vol. 23, no. 3, 2016 Export RIS Citation Information.

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Chan, Kung-Sik ;

Jiao, Feiran

Jan 08 2016 | Acad Radiol. 23(3):304-314.

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Rationale and ObjectivesWe evaluated the role of automated quantitative computed tomography (CT) scan interpretation algorithm in detecting Interstiti...

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