Application of support-vector-machine-based method for feature selection and classification of thyroid nodules in ultrasound images

Pattern Recognition

Volumn 43, Issue 10, 2010, Pages 3494-3506

  Chang, Chuan Yu ^a   Chen, Shao Jer ^b,c   Tsai, Ming Fong ^a  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b BUDDHIST TZU CHI GENERAL HOSPITAL   (Taiwan)

^c TZU CHI UNIVERSITY   (Taiwan)

Author keywords

Feature selection; Support vector machines; Thyroid nodule classification

Indexed keywords

BHATTACHARYYA DISTANCE; CRITERION FUNCTIONS; ECHO PATTERNS; EXECUTION TIME; EXISTING METHOD; F-SCORE; FEATURE SELECTION; FEATURE SELECTION AND CLASSIFICATION; MISDIAGNOSIS RATE; NODULAR LESIONS; TEXTURAL FEATURE; THYROID NODULE; ULTRASOUND IMAGES;

SUPPORT VECTOR MACHINES; ULTRASONICS; VECTORS;

FEATURE EXTRACTION;

EID: 77953609581     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.04.023     Document Type: Article

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