A new ensemble learning approach for microcalcification clusters detection

Journal of Software

Volumn 4, Issue 9, 2009, Pages 1014-1021

  Zhang, Xinsheng ^a  

^a XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY   (China)

Author keywords

Bagging; Boosting; Bootstrap; Ensemble learning; Feature; Microcalcification clusters

Indexed keywords

APRIORI; BASE LEARNERS; BREAST CANCER DIAGNOSIS; DECISION MODELS; DETECTION METHODS; ENSEMBLE ALGORITHMS; ENSEMBLE LEARNING; ENSEMBLE LEARNING APPROACH; ENSEMBLE MODELS; ENSEMBLE STRATEGIES; FEATURE EXTRACTOR; FEEDBACK SCHEME; GROUND TRUTH; IMAGE FEATURES; MICROCALCIFICATION CLUSTERS; MICROCALCIFICATION CLUSTERS DETECTION; OVERFITTING; RELEVANCE FEEDBACK; RELEVANCE FEEDBACK TECHNIQUES;

ADAPTIVE ALGORITHMS; FEEDBACK; HIGH PASS FILTERS; IMAGE PROCESSING;

CALCIFICATION (BIOCHEMISTRY);

EID: 78651532026     PISSN: 1796217X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jsw.4.9.1014-1021     Document Type: Article

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