An investigate of mass diagnosis in mammogram with random forest

Proceedings of 4th International Workshop on Advanced Computational Intelligence, IWACI 2011

Volumn , Issue , 2011, Pages 638-641

  Liu, Jun ^a   Chen, Jianxun ^a   Liu, Xiaoming ^a   Tang, J ^a  

^a WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY INFORMATION; ENSEMBLE LEARNING; EXTRACTING FEATURES; FALSE NEGATIVES; GRAY LEVEL CO-OCCURRENCE MATRIX; HU MOMENTS; INITIAL CONTOUR; LEVEL SET METHOD; LEVEL SET SEGMENTATION; MASS REGIONS; RANDOM FOREST CLASSIFIER; RANDOM FORESTS; REGION INFORMATION; SHAPE CHARACTERISTICS; SVM(SUPPORT VECTOR MACHINE); TEXTURE CHARACTERISTICS; TEXTURE FEATURES;

ARTIFICIAL INTELLIGENCE; FORESTRY; MAMMOGRAPHY; NUMERICAL METHODS; SUPPORT VECTOR MACHINES; X RAY SCREENS;

DECISION TREES;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DECISION THEORY; INFORMATION RETRIEVAL; RANDOM PROCESSES; X RAYS;

EID: 84863386348     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWACI.2011.6160086     Document Type: Conference Paper

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