Computer-aided detection of lung nodules by SVM based on 3D matrix patterns

Clinical Imaging

Volumn 37, Issue 1, 2013, Pages 62-69

  Wang, Qingzhu ^a   Kang, Wenwei ^b   Wu, Chunming ^a   Wang, Bin ^c  

^a NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

^b JILIN UNIVERSITY   (China)

^c Jilin Tumor Hospital   (China)

Author keywords

Computer aided diagnosis; Lung nodule; SVM; Three dimensional matrix

Indexed keywords

COMPUTER-AIDED DETECTION; FALSE POSITIVE; LOCAL CONTEXTUAL INFORMATION; LUNG NODULE; MATRIX PATTERNS; SVM; TESTING DATA; THREE DIMENSIONAL MATRICES; THREE-DIMENSIONAL MATRIX; TOMOGRAPHIC; TRAINING SAMPLE; VOLUME OF INTEREST;

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; MAMMOGRAPHY; THREE DIMENSIONAL; THREE DIMENSIONAL COMPUTER GRAPHICS;

SUPPORT VECTOR MACHINES;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC IMAGING; EARLY DIAGNOSIS; HUMAN; IMAGE ANALYSIS; LEARNING ALGORITHM; LUNG NODULE; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; THREE DIMENSIONAL IMAGING;

HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; SUPPORT VECTOR MACHINES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84872375037     PISSN: 08997071     EISSN: 18734499     Source Type: Journal    
DOI: 10.1016/j.clinimag.2012.02.003     Document Type: Article

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