Abdominal CTA image analisys through active learning and decision random forests: Aplication to AAA segmentation

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2012, Pages

  Maiora, Josu ^a   Graña, Manuel ^a  

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

Author keywords

Active Learningedical Image; Active LearningM; edical Image; Segmentation

Indexed keywords

ABDOMINAL AORTIC ANEURYSMS; ACTIVE LEARNING; ACTIVE LEARNINGEDICAL IMAGE; ACTIVE LEARNINGM; AORTIC WALLS; COMPUTERIZED TOMOGRAPHY ANGIOGRAPHIES; CT VOLUME; EDICAL IMAGE; ENDOVASCULAR; ILIAC ARTERIES; IMAGE INTENSITIES; MINIMALLY INVASIVE; RANDOM FOREST CLASSIFIER; RANDOM FORESTS; SEMI-AUTOMATICS; TIME-CONSUMING TASKS;

BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; DECISION TREES; NEURAL NETWORKS; PATIENT TREATMENT;

IMAGE SEGMENTATION;

EID: 84865076628     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252801     Document Type: Conference Paper

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