Computer-aided detection of pulmonary nodules: Influence of nodule characteristics on detection performance

Clinical Radiology

Volumn 60, Issue 2, 2005, Pages 196-206

  Marten, Katharina ^a   Engelke, C ^a   Seyfarth, T ^b   Grillhosl A ^a   Obenauer, S ^c   Rummeny, E J ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS AG   (Germany)

^c UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Computed tomography (CT); Computers; Diagnostic aid; Diagnostic radiology; Image processing; Lung; Nodule; Observer performance; Thin section

Indexed keywords

IOPROMIDE;

ADULT; AGED; ARTICLE; CHI SQUARE TEST; CLINICAL ARTICLE; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONFIDENCE INTERVAL; CONSENSUS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; LOGISTIC REGRESSION ANALYSIS; LUNG BLOOD VESSEL; LUNG NODULE; MEDICAL DOCUMENTATION; PERFORMANCE; PLEURA; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; RADIOLOGIST; RISK ASSESSMENT; ROC CURVE; SENSITIVITY ANALYSIS; STANDARD; STATISTICAL ANALYSIS; THORAX RADIOGRAPHY;

ADULT; AGED; AGED, 80 AND OVER; COIN LESION, PULMONARY; HUMANS; MIDDLE AGED; PROSPECTIVE STUDIES; REFERENCE STANDARDS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 12344275345     PISSN: 00099260     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.crad.2004.05.014     Document Type: Article

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