Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model

International Journal of Computer Assisted Radiology and Surgery

Volumn 9, Issue 6, 2014, Pages 1005-1020

  Tan, Maxine ^a   Pu, Jiantao ^b   Zheng, Bin ^a,b  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Breast cancer; Computer aided diagnosis of mammograms; Feature selection; Pattern classification

Indexed keywords

ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; CANCER STAGING; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; EVALUATION STUDY; FEMALE; HUMAN; MAMMOGRAPHY; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE;

ALGORITHMS; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MAMMOGRAPHY; NEOPLASM STAGING; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; SUPPORT VECTOR MACHINE;

EID: 84896440084     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-014-0992-1     Document Type: Article

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