These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
71 related articles for article (PubMed ID: 18849142)
1. Automated segmentation of mammary gland regions in non-contrast X-ray CT images. Zhou X; Han M; Hara T; Fujita H; Sugisaki K; Chen H; Lee G; Yokoyama R; Kanematsu M; Hoshi H Comput Med Imaging Graph; 2008 Dec; 32(8):699-709. PubMed ID: 18849142 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic localization of solid organs on 3D CT images by a collaborative majority voting decision based on ensemble learning. Zhou X; Wang S; Chen H; Hara T; Yokoyama R; Kanematsu M; Fujita H Comput Med Imaging Graph; 2012 Jun; 36(4):304-13. PubMed ID: 22421130 [TBL] [Abstract][Full Text] [Related]
4. An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images. Caballo M; Boone JM; Mann R; Sechopoulos I Med Phys; 2018 Jun; 45(6):2542-2559. PubMed ID: 29676025 [TBL] [Abstract][Full Text] [Related]
5. Automatic segmentation and recognition of lungs and lesion from CT scans of thorax. Kakar M; Olsen DR Comput Med Imaging Graph; 2009 Jan; 33(1):72-82. PubMed ID: 19059759 [TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies. Haas B; Coradi T; Scholz M; Kunz P; Huber M; Oppitz U; André L; Lengkeek V; Huyskens D; van Esch A; Reddick R Phys Med Biol; 2008 Mar; 53(6):1751-71. PubMed ID: 18367801 [TBL] [Abstract][Full Text] [Related]
7. Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans. Tschirren J; Hoffman EA; McLennan G; Sonka M IEEE Trans Med Imaging; 2005 Dec; 24(12):1529-39. PubMed ID: 16353370 [TBL] [Abstract][Full Text] [Related]
8. A population-based tissue probability map-driven level set method for fully automated mammographic density estimations. Kim Y; Hong BW; Kim SJ; Kim JH Med Phys; 2014 Jul; 41(7):071905. PubMed ID: 24989383 [TBL] [Abstract][Full Text] [Related]
9. Automated model-based vertebra detection, identification, and segmentation in CT images. Klinder T; Ostermann J; Ehm M; Franz A; Kneser R; Lorenz C Med Image Anal; 2009 Jun; 13(3):471-82. PubMed ID: 19285910 [TBL] [Abstract][Full Text] [Related]
10. Computerized detection of diffuse lung disease in MDCT: the usefulness of statistical texture features. Wang J; Li F; Doi K; Li Q Phys Med Biol; 2009 Nov; 54(22):6881-99. PubMed ID: 19864701 [TBL] [Abstract][Full Text] [Related]
11. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions. Madabhushi A; Metaxas DN IEEE Trans Med Imaging; 2003 Feb; 22(2):155-69. PubMed ID: 12715992 [TBL] [Abstract][Full Text] [Related]
12. Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region. Feulner J; Zhou SK; Angelopoulou E; Seifert S; Cavallaro A; Hornegger J; Comaniciu D Comput Med Imaging Graph; 2011 Apr; 35(3):227-36. PubMed ID: 21130603 [TBL] [Abstract][Full Text] [Related]
13. 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. PubMed ID: 20457415 [TBL] [Abstract][Full Text] [Related]
14. Atlas-driven lung lobe segmentation in volumetric X-ray CT images. Zhang L; Hoffman EA; Reinhardt JM IEEE Trans Med Imaging; 2006 Jan; 25(1):1-16. PubMed ID: 16398410 [TBL] [Abstract][Full Text] [Related]
15. Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images. Zhou X; Hayashi T; Hara T; Fujita H; Yokoyama R; Kiryu T; Hoshi H Comput Med Imaging Graph; 2006 Jul; 30(5):299-313. PubMed ID: 16920331 [TBL] [Abstract][Full Text] [Related]
16. Level set based cerebral vasculature segmentation and diameter quantification in CT angiography. Manniesing R; Velthuis BK; van Leeuwen MS; van der Schaaf IC; van Laar PJ; Niessen WJ Med Image Anal; 2006 Apr; 10(2):200-14. PubMed ID: 16263325 [TBL] [Abstract][Full Text] [Related]
17. Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images. Aykac D; Hoffman EA; McLennan G; Reinhardt JM IEEE Trans Med Imaging; 2003 Aug; 22(8):940-50. PubMed ID: 12906248 [TBL] [Abstract][Full Text] [Related]
18. Diagnosis of breast cancer with multidetector computed tomography: analysis of optimal delay time after contrast media injection. Kuroki-Suzuki S; Kuroki Y; Ishikawa T; Takeo H; Moriyama N Clin Imaging; 2010; 34(1):14-9. PubMed ID: 20122514 [TBL] [Abstract][Full Text] [Related]
19. A computer-assisted system for diagnostic workstations: automated bone labeling for CT images. Furuhashi S; Abe K; Takahashi M; Aizawa T; Shizukuishi T; Sakaguchi M; Maebayashi T; Tanaka I; Narata M; Sasaki Y J Digit Imaging; 2009 Dec; 22(6):689-95. PubMed ID: 18941839 [TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 19692288 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]