Oversampling methods for classification of imbalanced breast cancer malignancy data

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

Volumn 7594 LNCS, Issue , 2012, Pages 483-490

  Krawczyk, Bartosz ^a   Jeleń, Łukasz ^b,c   Krzyzak, Adam ^d   Fevens, Thomas ^d  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b Wroclaw School of Applied Informatics Horyzonty   (Poland)

^c WROC AW UNIVERSITY OF ENVIRONMENTAL AND LIFE SCIENCES   (Poland)

^d Dept of Electrical and Computer Engineering   (Canada)

Author keywords

breast cancer; classifier ensemble; image processing; imbalanced classification; nuclei segmentation; oversampling; pattern recognition

Indexed keywords

COMPUTER VISION; DISEASES; FUZZY CLUSTERING; GRADING; IMAGE PROCESSING; IMAGE SEGMENTATION; MEDICAL IMAGING; PATTERN RECOGNITION;

BREAST CANCER; CLASSIFIER ENSEMBLES; IMBALANCED CLASSIFICATION; NUCLEI SEGMENTATION; OVER SAMPLING;

IMAGE CLASSIFICATION;

EID: 84868019698     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33564-8_58     Document Type: Conference Paper

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