Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers

Journal of Digital Imaging

Volumn 21, Issue 2, 2008, Pages 153-169

  Mu, Tingting ^a   Nandi, Asoke K ^a   Rangayyan, Rangaraj M ^b  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Breast masses; Breast tumors; Computer aided diagnosis; Edge sharpness analysis; Feature selection; Kernel based classifiers; Mammography; Pattern classification; Shape analysis; Texture analysis

Indexed keywords

BREAST MASSES; BREAST TUMORS; EDGE-SHARPNESS ANALYSIS; KERNEL-BASED CLASSIFIERS; SHAPE ANALYSIS; TEXTURE ANALYSIS;

COMPUTER AIDED DIAGNOSIS; EDGE DETECTION; FEATURE EXTRACTION; IMAGE CLASSIFICATION; MAMMOGRAPHY;

BIOLOGICAL ORGANS;

ACCURACY; ALGORITHM; ARTICLE; BREAST TUMOR; DATA BASE; DIGITAL IMAGING; KERNEL METHOD; MAMMOGRAPHY; NONLINEAR SYSTEM; PRIORITY JOURNAL; TUMOR CLASSIFICATION;

ALGORITHMS; BREAST NEOPLASMS; DIAGNOSIS, DIFFERENTIAL; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE;

EID: 44149089793     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-007-9102-z     Document Type: Article

References (52)