Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 140

1.

Liver segmentation approach using graph cuts and iteratively estimated shape and intensity constrains.

Afifi A, Nakaguchi T.

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):395-403.

PMID:
23286073
2.

Model-based segmentation using graph representations.

Seghers D, Hermans J, Loeckx D, Maes F, Vandermeulen D, Suetens P.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):393-400.

PMID:
18979771
3.

Liver segmentation using automatically defined patient specific B-spline surface models.

Song Y, Bulpitt AJ, Brodlie KW.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):43-50.

PMID:
20426094
4.

Interactive semiautomatic contour delineation using statistical conditional random fields framework.

Hu YC, Grossberg MD, Wu A, Riaz N, Perez C, Mageras GS.

Med Phys. 2012 Jul;39(7):4547-58. doi: 10.1118/1.4728979.

5.

A conditional statistical shape model with integrated error estimation of the conditions; application to liver segmentation in non-contrast CT images.

Tomoshige S, Oost E, Shimizu A, Watanabe H, Nawano S.

Med Image Anal. 2014 Jan;18(1):130-43. doi: 10.1016/j.media.2013.10.003. Epub 2013 Oct 17.

PMID:
24184436
6.

3D liver segmentation using multiple region appearances and graph cuts.

Peng J, Hu P, Lu F, Peng Z, Kong D, Zhang H.

Med Phys. 2015 Dec;42(12):6840-52. doi: 10.1118/1.4934834.

PMID:
26632041
7.

Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation.

Häme Y, Pollari M.

Med Image Anal. 2012 Jan;16(1):140-9. doi: 10.1016/j.media.2011.06.006. Epub 2011 Jun 24.

PMID:
21742543
8.

Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT.

Bilello M, Gokturk SB, Desser T, Napel S, Jeffrey RB Jr, Beaulieu CF.

Med Phys. 2004 Sep;31(9):2584-93.

PMID:
15487741
9.

Automated segmentation of the liver from 3D CT images using probabilistic atlas and multi-level statistical shape model.

Okada T, Shimada R, Sato Y, Hori M, Yokota K, Nakamoto M, Chen YW, Nakamura H, Tamura S.

Med Image Comput Comput Assist Interv. 2007;10(Pt 1):86-93.

PMID:
18051047
10.

Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs.

Saito A, Nawano S, Shimizu A.

Med Image Anal. 2016 Feb;28:46-65. doi: 10.1016/j.media.2015.11.003. Epub 2015 Dec 4.

PMID:
26716720
11.

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y.

Med Image Anal. 2015 Dec;26(1):1-18. doi: 10.1016/j.media.2015.06.009. Epub 2015 Jul 4.

12.

Non-parametric iterative model constraint graph min-cut for automatic kidney segmentation.

Freiman M, Kronman A, Esses SJ, Joskowicz L, Sosna J.

Med Image Comput Comput Assist Interv. 2010;13(Pt 3):73-80.

PMID:
20879385
13.

Constructing a probabilistic model for automated liver region segmentation using non-contrast X-ray torso CT images.

Zhou X, Kitagawa T, Hara T, Fujita H, Zhang X, Yokoyama R, Kondo H, Kanematsu M, Hoshi H.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):856-63.

PMID:
17354853
14.

Weights and topology: a study of the effects of graph construction on 3D image segmentation.

Grady L, Jolly MP.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):153-61.

PMID:
18979743
15.

Spine segmentation using articulated shape models.

Klinder T, Wolz R, Lorenz C, Franz A, Ostermann J.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):227-34.

PMID:
18979752
16.

A 4D statistical shape model for automated segmentation of lungs with large tumors.

Wilms M, Ehrhardt J, Handels H.

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):347-54.

PMID:
23286067
17.

Interactive liver tumor segmentation from ct scans using support vector classification with watershed.

Zhang X, Tian J, Xiang D, Li X, Deng K.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6005-8. doi: 10.1109/IEMBS.2011.6091484.

PMID:
22255708
18.

MASCG: Multi-Atlas Segmentation Constrained Graph method for accurate segmentation of hip CT images.

Chu C, Bai J, Wu X, Zheng G.

Med Image Anal. 2015 Dec;26(1):173-84. doi: 10.1016/j.media.2015.08.011. Epub 2015 Sep 11.

PMID:
26426453
19.

Automatic model-guided segmentation of the human brain ventricular system from CT images.

Liu J, Huang S, Ihar V, Ambrosius W, Lee LC, Nowinski WL.

Acad Radiol. 2010 Jun;17(6):718-26. doi: 10.1016/j.acra.2010.02.013. Erratum in: Acad Radiol. 2010 Oct;17(10):1226.

PMID:
20457415
20.

Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images.

Ruskó L, Bekes G, Fidrich M.

Med Image Anal. 2009 Dec;13(6):871-82. doi: 10.1016/j.media.2009.07.009. Epub 2009 Jul 23.

PMID:
19692288

Supplemental Content

Support Center