Discrimination of breast tumors in ultrasonic images by classifier ensemble trained with AdaBoost

Electronics and Communications in Japan

Volumn 94, Issue 9, 2011, Pages 18-29

  Takemura, Atsushi ^a   Shimizu, Akinobu ^a   Hamamoto, Kazuhiko ^b  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

^b TOKAI UNIVERSITY   (Japan)

Author keywords

AdaBoost; breast tumor; differential diagnosis; features selection; log compressed K distribution; ultrasonic image

Indexed keywords

BREAST TUMOR; DIFFERENTIAL DIAGNOSIS; FEATURES SELECTION; LOG-COMPRESSED K DISTRIBUTION; ULTRASONIC IMAGE;

DIAGNOSIS; FEATURE EXTRACTION; TUMORS; ULTRASONIC IMAGING; ULTRASONICS;

ADAPTIVE BOOSTING;

EID: 84860411757     PISSN: 19429533     EISSN: 19429541     Source Type: Journal    
DOI: 10.1002/ecj.10356     Document Type: Article

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