Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8670, Issue , 2013, Pages

  Pérez, Noel ^a   Guevara, Miguel A ^a   Silva, Augusto ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

Breast cancer classification; Clinical descriptors; Image based descriptors; Machine learning algorithms; Mammography; Variable selection analysis

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BREAST CANCER CLASSIFICATIONS; CLASSIFICATION PERFORMANCE; CLASSIFICATION SCHEME; COMPARATIVE PERFORMANCE; DESCRIPTORS; RECEIVER OPERATING CHARACTERISTICS; VARIABLE SELECTION;

COMPUTER AIDED DIAGNOSIS; DECISION TREES; DISEASES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; SET THEORY; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 84878404694     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007912     Document Type: Conference Paper

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