Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5370 II, Issue , 2004, Pages 880-887

  Land Jr , Walker H ^a   McKee, Daniel W ^a   Anderson, Frances R ^b   Lo, Joseph Y ^c  

^a State University of New York   (United States)

^b Lourdes Hospital   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

Breast Cancer Classification; Evolutionary Programming; Kernel Functions; Support Vector Machines

Indexed keywords

BREAST CANCER CLASSIFICATION; KERNEL FUNCTIONS; SUPPORT VECTOR MACHINES;

EVOLUTIONARY ALGORITHMS; NEURAL NETWORKS; PATHOLOGY; PATIENT MONITORING; PATTERN RECOGNITION; TUMORS; VECTORS;

MAMMOGRAPHY;

EID: 5644229649     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.535864     Document Type: Conference Paper

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