Ultrasonographic feature selection and pattern classification for cervical lymph nodes using support vector machines

Computer Methods and Programs in Biomedicine

Volumn 88, Issue 1, 2007, Pages 75-84

  Zhang, Junhua ^a,b   Wang, Yuanyuan ^a   Dong, Yi ^c   Wang, Yi ^c  

^a FUDAN UNIVERSITY   (China)

^b YUNNAN UNIVERSITY   (China)

^c FUDAN UNIVERSITY   (China)

Author keywords

Cervical lymph nodes; Computer aided diagnosis (CAD); Feature selection; Support vector machine (SVM); Ultrasonographic features

Indexed keywords

COMPUTER AIDED DIAGNOSIS; NEURAL NETWORKS; RADIOLOGY; SUPPORT VECTOR MACHINES; ULTRASONOGRAPHY;

CERVICAL LYMPH NODES; ULTRASONOGRAMS; ULTRASONOGRAPHIC FEATURES;

FEATURE EXTRACTION;

ADOLESCENT; ADULT; AGED; ARTICLE; CERVICAL LYMPH NODE; COMPUTER AIDED DESIGN; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ECHOGRAPHY; FEMALE; HUMAN; LYMPH NODE BIOPSY; LYMPH NODE METASTASIS; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; NERVE CELL NETWORK; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ADOLESCENT; ADULT; AGED; ALGORITHMS; CERVICAL VERTEBRAE; FEMALE; HUMANS; LYMPH NODES; MALE; MIDDLE AGED; NECK; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; ROC CURVE; ULTRASONOGRAPHY; VASCULAR RESISTANCE;

EID: 34548282645     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.07.008     Document Type: Article

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