A multiple instance learning approach toward optimal classification of pathology slides

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2732-2735

  Dundar, M Murat ^a   Badve, Sunil ^a   Raykar, Vikas C ^b   Jain, Rohit K ^a   Sertel, Olcay ^c   Gurcan, Metin N ^c  

^a INDIANA UNIVERSITY   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST LESION; CLASSIFICATION ACCURACY; CLASSIFIER PERFORMANCE; COMPUTER ASSISTED; DESCRIPTORS; EXPERIMENTAL STUDIES; LARGE MARGIN PRINCIPLE; LOSS FUNCTIONS; MULTIPLE INSTANCE LEARNING; MULTIPLE REGIONS; OPTIMAL CLASSIFICATION; REGIONS OF INTEREST; SUB-OPTIMAL PERFORMANCE; TRAINING TECHNIQUES;

CLASSIFIERS; DISEASES; OPTIMIZATION; PATHOLOGY; PATTERN RECOGNITION;

COMPUTER GRAPHICS;

EID: 78149479937     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.669     Document Type: Conference Paper

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