267 related articles for article (PubMed ID: 28161593)
21. Semiautomatic segmentation of liver metastases on volumetric CT images.
Yan J; Schwartz LH; Zhao B
Med Phys; 2015 Nov; 42(11):6283-93. PubMed ID: 26520721
[TBL] [Abstract][Full Text] [Related]
22. Adapting Active Shape Models for 3D segmentation of tubular structures in medical images.
de Bruijne M; van Ginneken B; Viergever MA; Niessen WJ
Inf Process Med Imaging; 2003 Jul; 18():136-47. PubMed ID: 15344453
[TBL] [Abstract][Full Text] [Related]
23. Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
Wang J; Cheng Y; Guo C; Wang Y; Tamura S
Int J Comput Assist Radiol Surg; 2016 May; 11(5):817-26. PubMed ID: 26646416
[TBL] [Abstract][Full Text] [Related]
24. Organ segmentation with level sets using local shape and appearance priors.
Kohlberger T; Uzunba MG; Alvino C; Kadir T; Slosman DO; Funka-Lea G
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):34-42. PubMed ID: 20426093
[TBL] [Abstract][Full Text] [Related]
25. 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. PubMed ID: 26277022
[TBL] [Abstract][Full Text] [Related]
26. 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. PubMed ID: 23286067
[TBL] [Abstract][Full Text] [Related]
27. Active shape models for a fully automated 3D segmentation of the liver--an evaluation on clinical data.
Heimann T; Wolf I; Meinzer HP
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):41-8. PubMed ID: 17354754
[TBL] [Abstract][Full Text] [Related]
28. Partitioned edge-function-scaled region-based active contour (p-ESRAC): automated liver segmentation in multiphase contrast-enhanced MRI.
Oh J; Martin DR; Hu X
Med Phys; 2014 Apr; 41(4):041914. PubMed ID: 24694145
[TBL] [Abstract][Full Text] [Related]
29. Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images.
Lee J; Kim N; Lee H; Seo JB; Won HJ; Shin YM; Shin YG; Kim SH
Comput Methods Programs Biomed; 2007 Oct; 88(1):26-38. PubMed ID: 17719125
[TBL] [Abstract][Full Text] [Related]
30. 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. PubMed ID: 23286073
[TBL] [Abstract][Full Text] [Related]
31. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.
Zhou J; Kim S; Jabbour S; Goyal S; Haffty B; Chen T; Levinson L; Metaxas D; Yue NJ
Med Phys; 2010 Mar; 37(3):1298-308. PubMed ID: 20384267
[TBL] [Abstract][Full Text] [Related]
32. Geometrical model-based segmentation of the organs of sight on CT images.
Bekes G; Máté E; Nyúl LG; Kuba A; Fidrich M
Med Phys; 2008 Feb; 35(2):735-43. PubMed ID: 18383695
[TBL] [Abstract][Full Text] [Related]
33. 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. PubMed ID: 17354853
[TBL] [Abstract][Full Text] [Related]
34. A new osteophyte segmentation algorithm using partial shape model and its applications to rabbit femur anterior cruciate ligament transection via micro-CT imaging.
Saha PK; Liang G; Elkins JM; Coimbra A; Duong LT; Williams DS; Sonka M
IEEE Trans Biomed Eng; 2011 Aug; 58(8):. PubMed ID: 21421428
[TBL] [Abstract][Full Text] [Related]
35. Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas.
Li C; Wang X; Xia Y; Eberl S; Yin Y; Feng DD
Comput Methods Programs Biomed; 2012 Aug; 107(2):164-74. PubMed ID: 21855163
[TBL] [Abstract][Full Text] [Related]
36. A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling.
Shahedi M; Halicek M; Guo R; Zhang G; Schuster DM; Fei B
Med Phys; 2018 Jun; 45(6):2527-2541. PubMed ID: 29611216
[TBL] [Abstract][Full Text] [Related]
37. A probabilistic model for automatic segmentation of the esophagus in 3-D CT scans.
Feulner J; Zhou SK; Hammon M; Seifert S; Huber M; Comaniciu D; Hornegger J; Cavallaro A
IEEE Trans Med Imaging; 2011 Jun; 30(6):1252-64. PubMed ID: 21303741
[TBL] [Abstract][Full Text] [Related]
38. Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach.
Sun S; Bauer C; Beichel R
IEEE Trans Med Imaging; 2012 Feb; 31(2):449-60. PubMed ID: 21997248
[TBL] [Abstract][Full Text] [Related]
39. Oriented active shape models.
Liu J; Udupa JK
IEEE Trans Med Imaging; 2009 Apr; 28(4):571-84. PubMed ID: 19336277
[TBL] [Abstract][Full Text] [Related]
40. A novel lung nodules detection scheme based on vessel segmentation on CT images.
Jia T; Zhang H; Meng H
Biomed Mater Eng; 2014; 24(6):3179-86. PubMed ID: 25227026
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
