Structure learning in random fields for heart motion abnormality detection

Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are difficult to interpret leading to high intra-observer variability. Previous work indicates that in order to approach this pr...

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Bibliographische Detailangaben

Hauptverfasser:	Schmidt, M., Murphy, K., Fung, G., Rosales, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biomedical imaging Cardiac disease Computer science Coronary arteriosclerosis Heart Image segmentation Medical diagnostic imaging Motion detection Muscles Ultrasonic imaging
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