Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: Comparison with human observers

European Radiology

Volumn 20, Issue 6, 2010, Pages 1289-1296

  Szucs Farkas, Zsolt ^a   Patak, Michael A ^a   Yuksel Hatz, Seyran ^a   Ruder, Thomas ^a   Vock, Peter ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

Chest; Computer aided diagnosis; Energy subtraction; Pulmonary nodule; Radiography

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL COMPETENCE; COMPARATIVE STUDY; COMPUTER ASSISTED RADIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIGITAL RADIOGRAPHY; ENERGY SUBTRACTED THORAX RADIOGRAPHY; FEMALE; HUMAN; IMAGE ANALYSIS; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; OBSERVER VARIATION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; THORAX RADIOGRAPHY; TUMOR VOLUME;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, DUAL-ENERGY SCANNED PROJECTION; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SOFTWARE VALIDATION; SOLITARY PULMONARY NODULE; SUBTRACTION TECHNIQUE; YOUNG ADULT;

EID: 77952098839     PISSN: 09387994     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00330-009-1667-0     Document Type: Article

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