Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

A fetal ultrasound (US) biometry plane can be identified from the presence and absence of landmarks in the image. We propose an automated method of detecting two important anatomical landmarks (stomach bubble and umbilical vein) from the fetal ultrasound abdomen scan for the purpose of scoring the image quality. The implementation is based on the AdaBoost learning algorithm with an execution time less than 6 seconds. Evaluation performed on 2384 images shows detection of the stomach is more accurate compared to the umbilical vein and the approach worth further investigation for quality assurance framework. © 2011 IEEE.

Original publication




Conference paper

Publication Date



6 - 9