Normal mammogram classification based on a support vector machine utilizing crossed distribution features

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 III, Issue , 2004, Pages 1581-1584

  Chiracharit, W ^a   Sun, Y ^b   Kumhom, P ^a   Chamnongthai, K ^a   Babbs, C ^c   Delp, E J ^b  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

^b Purdue University   (United States)

^c PURDUE UNIVERSITY   (United States)

Author keywords

Breast cancer; Computer aided diagnosis (CAD); Mammogram; Support vector machine (SVM)

Indexed keywords

COMPUTER AIDED DIAGNOSIS; CONFORMAL MAPPING; CORRELATION METHODS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS; SCREENING; TUMORS; VECTORS;

BREAST CANCER; GRAY LEVEL; MAMMOGRAMS; SUPPORT VECTOR MACHINES (SVM);

MAMMOGRAPHY;

EID: 11144294803     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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10. th International Workshop on Digital Mammography, pp.212-218, June 11-14, 2000.