Comparison of image features calculated in different dimensions for computer-aided diagnosis of lung nodules

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7260, Issue , 2009, Pages

  Ye, Xu ^a   Lee, Michael C ^a   Boroczky, Lilla ^a   Cann, Aaron D ^b   Borczukb, Alain C ^b   Kawut, Steven M ^b   Powell, Charles A ^b  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b College of Physicians and Surgeons ^*  (United States)

Author keywords

CAD development; Classifier design; Lung; Pulmonary nodule

Indexed keywords

3-D IMAGE; CAD DEVELOPMENT; CLASSIFICATION RESULTS; CLASSIFIER DESIGN; DATA SPACE; DIAGNOSTIC ACCURACY; IMAGE FEATURES; LEAVE-ONE-OUT; LUNG; LUNG NODULE; MULTI-DETECTOR ROW CT; MULTIPLE IMAGE; PULMONARY NODULE; PULMONARY NODULES; QUANTITATIVE INFORMATION; SENSITIVITY AND SPECIFICITY; SYSTEMATIC ANALYSIS; THREE-DIMENSIONAL (3D); WILCOXON SIGNED RANK TEST;

BIOLOGICAL ORGANS; CLASSIFIERS; COMPUTATIONAL COMPLEXITY; COMPUTER AIDED ANALYSIS; COMPUTERIZED TOMOGRAPHY; EXPERIMENTS; LEARNING SYSTEMS; MEDICAL IMAGING; POSITRON EMISSION TOMOGRAPHY; THREE DIMENSIONAL;

COMPUTER AIDED DIAGNOSIS;

EID: 66749173548     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.807866     Document Type: Conference Paper

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