Liver tumour segmentation using contrast-enhanced multi-detector CT data: performance benchmarking of three semiautomated methods.

Objective: Automatic tumour segmentation and volumetry is useful in cancer staging and treatment outcome assessment. This paper presents a performance benchmarking study on liver tumour segmentation for three semiautomatic algorithms: 2D region growing with knowledge-based constraints (A1), 2D voxel...

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Bibliographic Details

Published in:	European Radiology Vol. 20; no. 7; pp. 1738 - 1749
Main Authors:	Zhou JY, Wong DW, Ding F, Venkatesh SK, Tian Q, Qi YY, Xiong W, Liu JJ, Leow WK, Zhou, Jia-Yin, Wong, Damon W K, Ding, Feng, Venkatesh, Sudhakar K, Tian, Qi, Qi, Ying-Yi, Xiong, Wei, Liu, Jimmy J, Leow, Wee-Kheng
Format:	research Journal Article
Published:	Springer Nature Jul2010
Online Access:	View this record in EBSCOhost