Abstract
In this paper a new algorithm for the segmentation of retroperitoneal tumors is presented. In this paper an accumulated gradient distance is proposed as a new regional term in the continuous max-flow algorithm. In this preliminary study, three CT images have been segmented and compared with manual segmentations. DICE, Jaccard, Sensitivity andPostive Predictive Value (PPV) indexes have been computed and their values show promising results.
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© 2014 Springer International Publishing Switzerland
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Pérez-Carrasco, J.A., Suárez-Mejías, C., Serrano, C., López-Guerra, J.L., Acha, B. (2014). Segmentation of Retroperitoneal Tumors Using Fast Continuous Max-Flow Algorithm. In: Roa Romero, L. (eds) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE Proceedings, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-00846-2_89
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DOI: https://doi.org/10.1007/978-3-319-00846-2_89
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00845-5
Online ISBN: 978-3-319-00846-2
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