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.
270 related articles for article (PubMed ID: 21096592)
1. A fully automatic algorithm for segmentation of the breasts in DCE-MR images. Giannini V; Vignati A; Morra L; Persano D; Brizzi D; Carbonaro L; Bert A; Sardanelli F; Regge D Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3146-9. PubMed ID: 21096592 [TBL] [Abstract][Full Text] [Related]
2. Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images. Wu S; Weinstein SP; Conant EF; Schnall MD; Kontos D Med Phys; 2013 Apr; 40(4):042301. PubMed ID: 23556914 [TBL] [Abstract][Full Text] [Related]
3. Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model. Chen Y; Zhao B; Zhang J; Zheng Y Magn Reson Imaging; 2014 Sep; 32(7):941-55. PubMed ID: 24832358 [TBL] [Abstract][Full Text] [Related]
4. Automated breast segmentation of fat and water MR images using dynamic programming. Rosado-Toro JA; Barr T; Galons JP; Marron MT; Stopeck A; Thomson C; Thompson P; Carroll D; Wolf E; Altbach MI; Rodríguez JJ Acad Radiol; 2015 Feb; 22(2):139-48. PubMed ID: 25572926 [TBL] [Abstract][Full Text] [Related]
5. Integrated four dimensional registration and segmentation of dynamic renal MR images. Song T; Lee VS; Rusinek H; Wong S; Laine AF Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):758-65. PubMed ID: 17354841 [TBL] [Abstract][Full Text] [Related]
6. Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed. Cui Y; Tan Y; Zhao B; Liberman L; Parbhu R; Kaplan J; Theodoulou M; Hudis C; Schwartz LH Med Phys; 2009 Oct; 36(10):4359-69. PubMed ID: 19928066 [TBL] [Abstract][Full Text] [Related]
7. 3D automatic segmentation and reconstruction of prostate on MR images. Betrouni N; Puech P; Dewalle AS; Lopes R; Dubois P; Vermandel M Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5259-62. PubMed ID: 18003194 [TBL] [Abstract][Full Text] [Related]
8. Image manifold revealing for breast lesion segmentation in DCE-MRI. Hu L; Cheng Z; Wang M; Song Z Biomed Mater Eng; 2015; 26 Suppl 1():S1353-60. PubMed ID: 26405896 [TBL] [Abstract][Full Text] [Related]
9. Segmentation and classification of breast tumor using dynamic contrast-enhanced MR images. Zheng Y; Baloch S; Englander S; Schnall MD; Shen D Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):393-401. PubMed ID: 18044593 [TBL] [Abstract][Full Text] [Related]
10. Simultaneous segmentation and registration of contrast-enhanced breast MRI. Xiaohua C; Brady M; Lo JL; Moore N Inf Process Med Imaging; 2005; 19():126-37. PubMed ID: 17354690 [TBL] [Abstract][Full Text] [Related]
11. Fully automatic lesion segmentation in breast MRI using mean-shift and graph-cuts on a region adjacency graph. McClymont D; Mehnert A; Trakic A; Kennedy D; Crozier S J Magn Reson Imaging; 2014 Apr; 39(4):795-804. PubMed ID: 24783238 [TBL] [Abstract][Full Text] [Related]
12. Multiple sclerosis lesion segmentation using an automatic multimodal graph cuts. García-Lorenzo D; Lecoeur J; Arnold DL; Collins DL; Barillot C Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):584-91. PubMed ID: 20426159 [TBL] [Abstract][Full Text] [Related]
14. Optimizing the automatic segmentation of the left ventricle in magnetic resonance images. Angelie E; de Koning PJ; Danilouchkine MG; van Assen HC; Koning G; van der Geest RJ; Reiber JH Med Phys; 2005 Feb; 32(2):369-75. PubMed ID: 15789581 [TBL] [Abstract][Full Text] [Related]
15. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Chen W; Giger ML; Bick U; Newstead GM Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864 [TBL] [Abstract][Full Text] [Related]
16. Fully automatic liver segmentation through graph-cut technique. Massoptier L; Casciaro S Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5243-6. PubMed ID: 18003190 [TBL] [Abstract][Full Text] [Related]
17. A general framework for image segmentation using ordered spatial dependency. Rousson M; Xu C Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):848-55. PubMed ID: 17354852 [TBL] [Abstract][Full Text] [Related]
18. A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment. Yang Q; Li L; Zhang J; Shao G; Zheng B Eur J Radiol; 2014 Jul; 83(7):1086-1091. PubMed ID: 24743001 [TBL] [Abstract][Full Text] [Related]
19. Optimal feature point selection and automatic initialization in active shape model search. Lekadir K; Yang GZ Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):434-41. PubMed ID: 18979776 [TBL] [Abstract][Full Text] [Related]
20. Segmentation of the pectoral muscle in breast MRI using atlas-based approaches. Gubern-Mérida A; Kallenberg M; Martí R; Karssemeijer N Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):371-8. PubMed ID: 23286070 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]