Comparison and evaluation of methods for liver segmentation from CT datasets.

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Bibliographic Details
Title: Comparison and evaluation of methods for liver segmentation from CT datasets.
Authors: Heimann T; Division of Medical and Biological Informatics, German Cancer Research Center, 69121 Heidelberg, Germany. t.heimann@dkfz.de, van Ginneken B, Styner MA, Arzhaeva Y, Aurich V, Bauer C, Beck A, Becker C, Beichel R, Bekes G, Bello F, Binnig G, Bischof H, Bornik A, Cashman PM, Chi Y, Cordova A, Dawant BM, Fidrich M, Furst JD, Furukawa D, Grenacher L, Hornegger J, Kainmüller D, Kitney RI, Kobatake H, Lamecker H, Lange T, Lee J, Lennon B, Li R, Li S, Meinzer HP, Nemeth G, Raicu DS, Rau AM, van Rikxoort EM, Rousson M, Rusko L, Saddi KA, Schmidt G, Seghers D, Shimizu A, Slagmolen P, Sorantin E, Soza G, Susomboon R, Waite JM, Wimmer A, Wolf I
Source: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2009 Aug; Vol. 28 (8), pp. 1251-65. Date of Electronic Publication: 2009 Feb 10.
Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 8310780 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-254X (Electronic) Linking ISSN: 02780062 NLM ISO Abbreviation: IEEE Trans Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-254X
DOI:10.1109/TMI.2009.2013851