A case study in feature invention for breast cancer diagnosis using X-ray scatter images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2903, Issue , 2003, Pages 677-685

  Butler, Shane M ^a   Webb, Geoffrey I ^a   Lewis, Rob A ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Applications; Knowledge discovery and data mining

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; COST EFFECTIVENESS; DATA MINING; DIAGNOSIS; DISEASES; MEDICAL IMAGING; PATENTS AND INVENTIONS; TISSUE; X RAY SCATTERING; COSTS; DERMATOLOGY; TELEMEDICINE; TUMORS;

BREAST CANCER DIAGNOSIS; CLASSIFICATION METHODS; CLASSIFICATION SYSTEM; COST-EFFECTIVE METHODS; HIGH-LEVEL FEATURES; INFORMATION CONTENTS; INHERENT COMPLEXITY; KNOWLEDGE DISCOVERY AND DATA MININGS;

CLASSIFICATION (OF INFORMATION); IMAGE PROCESSING;

BREAST CANCER; COST MATRICES; TELEMEDICINE SYSTEMS;

EID: 7444251681     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24581-0_58     Document Type: Conference Paper

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