Active learning of hybrid extreme rotation forests for CTA image segmentation

Proceedings of the 2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012

Volumn , Issue , 2012, Pages 543-548

  Ayerdi, Borja ^a   Maiora, Josu ^a   Graña, Manuel ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Active Learning; Aortic Aneurysm; Hybrid Rotation Forest; Image Segementation

Indexed keywords

3D COMPUTED TOMOGRAPHIES; ABDOMINAL AORTIC ANEURYSMS; ACCURACY DEGREE; ACTIVE LEARNING; AORTIC ANEURYSMS; ENSEMBLE OF CLASSIFIERS; EXTREME LEARNING MACHINE; FEATURE SETS; HUMAN OPERATOR; IMAGE SEGEMENTATION; INTERACTIVE LEARNING; ITERATIVE PROCESS; LABELED PIXELS; NUMBER OF DATUM; OPTIMAL ROTATIONS; OPTIMAL SAMPLES; RANDOM PARTITIONS; ROTATION FORESTS; SEGMENTATION QUALITY; SMALL DATA; TRAINING DATA; TRAINING SAMPLE; VISUAL SELECTION;

BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; DECISION TREES; FORESTRY; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; PERSONNEL TRAINING; PIXELS; ROTATION;

CLASSIFICATION (OF INFORMATION);

ARTIFICIAL INTELLIGENCE; DECISION MAKING; EDUCATION; FORESTRY; IMAGE ANALYSIS; ROTATION;

EID: 84874163334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIS.2012.6421392     Document Type: Conference Paper

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