Ventriculogram segmentation using boosted decision trees

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5370 III, Issue , 2004, Pages 1804-1814

  McDonald, John Alan ^a   Sheehan, Florence H ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Adaboost.M1; Angiography; CART; Computer vision; Data mining; Heart disease; Image segmentation; Machine learning; Pixel classification

Indexed keywords

BOUNDARY PIXELS; CART; HEART DISEASES; PIXEL CLASSIFICATION;

ANGIOGRAPHY; COMPUTER VISION; DATA MINING; DISEASES; IMAGE SEGMENTATION; LEARNING SYSTEMS; PROBLEM SOLVING; TREES (MATHEMATICS); X RAY ANALYSIS;

CARDIOLOGY;

EID: 5644282717     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.531574     Document Type: Conference Paper

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