Computerized detection of lung nodules by means of 'virtual dual-energy' radiography

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 2, 2013, Pages 369-378

  Chen, Sheng ^a   Suzuki, Kenji ^b  

^a UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

Chest radiography (CXR); computer aided diagnosis (CAD); lung cancer; rib suppression; virtual dual energy (VDE)

Indexed keywords

AVERAGE SIZE; CHEST RADIOGRAPHS; CHEST RADIOGRAPHY; COMPUTED TOMOGRAPHY; COMPUTER-AIDED DETECTION; CROSS-VALIDATION TESTS; DETECTION OF LUNG NODULES; DUAL ENERGY; DUAL-ENERGY IMAGING; FALSE POSITIVE; FILTERING TECHNIQUE; LEAVE-ONE-OUT; LUNG CANCER; NODULE DETECTION; RIB SUPPRESSION; SENSITIVITY AND SPECIFICITY; SOFT TISSUE; SUPPORT VECTOR CLASSIFIERS;

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; MAMMOGRAPHY; NEURAL NETWORKS; OPACITY; RADIOGRAPHY; STATISTICAL METHODS; TISSUE;

TECHNOLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLAVICLE; COMPUTER ASSISTED RADIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; DATA BASE; HUMAN; IMAGE QUALITY; INTERMETHOD COMPARISON; LUNG NODULE; RIB; SENSITIVITY AND SPECIFICITY; SOFT TISSUE; THORAX RADIOGRAPHY; TRAINING; VIRTUAL DUAL ENERGY RADIOGRAPHY;

ALGORITHMS; CASE-CONTROL STUDIES; DATABASES, FACTUAL; HUMANS; LUNG; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; RIBS;

EID: 84872505051     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2226583     Document Type: Article

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