Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

In this paper we apply the random walk-based segmentation method to mesothelioma CT image datasets, aiming to establish an automatic segmentation routine that can provide volumetric assessments for monitoring progression of the disease and its treatments. We have validated the applicability of this method to our image data through a series of experimental trials, and demonstrated the superior performance and benefits of random walk compared to other segmentation algorithms such as level sets. © 2011 IEEE.

Original publication

DOI

10.1109/ISBI.2011.5872798

Type

Journal article

Journal

Proceedings - International Symposium on Biomedical Imaging

Publication Date

02/11/2011

Pages

1978 - 1981