Building an ensemble of probabilistic classifiers for lung nodule interpretation

Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011

Volumn 2, Issue , 2011, Pages 155-161

  Zinovev, Dmitriy ^a   Furst, Jacob ^a   Raicu, Daniela ^a  

^a DEPAUL UNIVERSITY   (United States)

Author keywords

belief decision trees; CAD; ensemble learning; multi class; uncertain classification

Indexed keywords

CLASSIFICATION SYSTEM; COMPUTED TOMOGRAPHY SCAN; COMPUTER AIDED DIAGNOSTICS; DATA SETS; ENSEMBLE LEARNING; ENSEMBLE LEARNING APPROACH; IMAGE DATABASE; LUNG NODULE; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; NATIONAL CANCER INSTITUTE; PROBABILISTIC CLASSIFIERS; SEMANTIC ANNOTATIONS;

ADAPTIVE BOOSTING; BIOLOGICAL ORGANS; COMPUTER AIDED DESIGN; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; DECISION TREES; FORESTRY; LEARNING SYSTEMS; PROBABILITY DISTRIBUTIONS; STATISTICAL TESTS;

SEMANTICS;

DESIGN; DIAGNOSIS; FORESTRY; PROBABILITY; STATISTICAL ANALYSIS; TESTING;

EID: 84857813055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2011.44     Document Type: Conference Paper

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