False positive reduction in mammographic mass detection using local binary patterns

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 286-293

  Oliver, Arnau ^a   Liado, Xavier ^a   Freixenet, Jordi ^a   Martí, Joan ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; SUPPORT VECTOR MACHINES; TISSUE;

FALSE POSITIVE REDUCTION; LOCAL BINARY PATTERNS; MASS DETECTION;

MAMMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE QUALITY; LABORATORY DIAGNOSIS; MAMMOGRAPHY; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; LOGISTIC MODELS; MAMMOGRAPHY; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883840795     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_35     Document Type: Conference Paper

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