Gallbladder boundary segmentation from ultrasound images using active contour model

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Abstract

Extracting the shape of the gallbladder from an ultrasonography (US) image allows superfluous information which is immaterial in the diagnostic process to be eliminated. In this project an active contour model was used to extract the shape of the gallbladder, both for cases free of lesions, and for those showing specific disease units, namely: lithiasis, polyps and changes in the shape of the organ, such as folds or turns of the gallbladder. The approximate shape of the gallbladder was found by applying the motion equation model. The tests conducted have shown that for the 220 US images of the gallbladder, the area error rate (AER) amounted to 18.15%. © 2010 Springer-Verlag Berlin Heidelberg.

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Ciecholewski, M. (2010). Gallbladder boundary segmentation from ultrasound images using active contour model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6283 LNCS, pp. 63–69). https://doi.org/10.1007/978-3-642-15381-5_8

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