Automated detection of pulmonary nodules in CT: False positive reduction by combining multiple classifiers

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7963, Issue , 2011, Pages

  Suárez Cuenca, Jorge Juan ^a,b   Guo, Wei ^a   Li, Qiang ^a  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

CAD; classifiers combination; CT; false positive reduction; lung nodule detection

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATED DETECTION; CAD; CAD SYSTEM; CLASSIFIER COMBINATION; COMBINATION METHOD; CT; DATA SETS; DETECTION PERFORMANCE; FALSE POSITIVE; FALSE-POSITIVE REDUCTION; IMAGE DATABASE; INDIVIDUAL CLASSIFIERS; LIKELIHOOD RATIO METHOD; LINEAR DISCRIMINANT ANALYSIS; LUNG NODULE DETECTION; MULTIPLE CLASSIFIERS; NODULE DETECTION; PERFORMANCE LEVEL; PULMONARY NODULE DETECTION; PULMONARY NODULES; QUADRATIC DISCRIMINANT ANALYSIS;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DISCRIMINANT ANALYSIS; FACE RECOGNITION; IMAGE RETRIEVAL; MEDICAL IMAGING; NEURAL NETWORKS; POSITRON EMISSION TOMOGRAPHY; SUPPORT VECTOR MACHINES;

COMPUTER AIDED DIAGNOSIS;

EID: 79955750759     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878793     Document Type: Conference Paper

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