TY  - JOUR
AU  - Mazaheri, Samaneh 
AU  - Wirza, Rahmita 
AU  - Sulaiman, Puteri Suhaiza 
AU  - Dimon, Mohd Zamrin 
AU  - Khalid, Fatima 
AU  - Tayebi, Rohollah Moosavi 
PY  - 2015
TI  - Segmentation Methods of Echocardiography Images for Left Ventricle Boundary Detection
JF  - Journal of Computer Science
VL  - 11
IS  - 9
DO  - 10.3844/jcssp.2015.957.970
UR  - https://thescipub.com/abstract/jcssp.2015.957.970
AB  - Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys state-of-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have proposed innovative ideas that they proved certain clinical advantages or potential especial role to the echocardiography segmentation task. The contribution of the paper would be serving as a tutorial of the field for both clinicians and technologists, providing large number of segmentation techniques in a comprehensive and systematic manner and critically review recent approaches in terms of their performance and degree of clinical evaluation with respect to the final goal of cardiac functional analysis.