A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 1359-1366

  Wu, Dijia ^a   Bi, Jinbo ^b   Boyer, Kim ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED INSTRUCTION; COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; DISEASES; LEARNING SYSTEMS; MEDICAL IMAGING; MEDICAL PROBLEMS; QUADRATIC PROGRAMMING;

BLOCK COORDINATE OPTIMIZATIONS; CASCADE CLASSIFICATION; CASCADED CLASSIFIERS; COMPUTED TOMOGRAPHY IMAGES; COMPUTER AIDED DIAGNOSIS(CAD); MULTIPLE-INSTANCE LEARNING; QUADRATICALLY-CONSTRAINED QUADRATIC PROGRAMS; REAL TIME REQUIREMENT;

COMPUTER AIDED DIAGNOSIS;

EID: 70450203680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206778     Document Type: Conference Paper

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