Segmentation of the left ventricle from ultrasound using random forest with active shape model

Proceedings - 1st International Conference on Artificial Intelligence, Modelling and Simulation, AIMS 2013

Volumn , Issue , 2014, Pages 315-319

  Belous, Gregg ^a,b   Busch, Andrew ^b   Rowlands, David ^b  

^a GRIFFITH UNIVERSITY   (Australia)

^b GREENSLOPES PRIVATE HOSPITAL   (Australia)

Author keywords

active shape model; random forest; ultrasound

Indexed keywords

DECISION TREES; ULTRASONIC APPLICATIONS; ULTRASONICS;

ACTIVE SHAPE MODEL; ACTIVE SHAPE MODELS; MODELING-BASED LEARNING; OVERLAP COEFFICIENTS; RANDOM FOREST CLASSIFIER; RANDOM FORESTS; SEGMENTATION ALGORITHMS; SHAPE CHARACTERISTICS;

IMAGE SEGMENTATION;

EID: 84917680717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIMS.2013.58     Document Type: Conference Paper

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