Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00330-010-1712-z
Title: Liver tumour segmentation using contrast-enhanced multi-detector CT data: performance benchmarking of three semiautomated methods
Authors: Zhou, J.-Y.
Ding, F. 
Venkatesh, S.K. 
Qi, Y.-Y.
Wong, D.W.K.
Tian, Q.
Xiong, W.
Liu, J.J.
Leow, W.-K.
Keywords: Computed tomography (CT)
Image segmentation
Liver tumour
Performance benchmarking
Tumour volumetry
Issue Date: 2010
Source: Zhou, J.-Y., Ding, F., Venkatesh, S.K., Qi, Y.-Y., Wong, D.W.K., Tian, Q., Xiong, W., Liu, J.J., Leow, W.-K. (2010). Liver tumour segmentation using contrast-enhanced multi-detector CT data: performance benchmarking of three semiautomated methods. European Radiology : 1-11. ScholarBank@NUS Repository. https://doi.org/10.1007/s00330-010-1712-z
Source Title: European Radiology
URI: http://scholarbank.nus.edu.sg/handle/10635/25512
ISSN: 09387994
14321084
DOI: 10.1007/s00330-010-1712-z
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

24
checked on Dec 11, 2017

WEB OF SCIENCETM
Citations

24
checked on Dec 11, 2017

Page view(s)

147
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.