193 related articles for article (PubMed ID: 16685875)
1. Automatic mammary duct detection in 3D ultrasound.
Gooding MJ; Mellor M; Shipley JA; Broadbent KA; Goddard DA
Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):434-41. PubMed ID: 16685875
[TBL] [Abstract][Full Text] [Related]
2. Classification of the stages of hyperplasia in breast ducts by analyzing different depths and segmentation of ultrasound breast scans into ductal areas.
Taslidere E; Cohen FS; Georgiou G
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2396-9. PubMed ID: 17946958
[TBL] [Abstract][Full Text] [Related]
3. Chest wall segmentation in automated 3D breast ultrasound scans.
Tan T; Platel B; Mann RM; Huisman H; Karssemeijer N
Med Image Anal; 2013 Dec; 17(8):1273-81. PubMed ID: 23273891
[TBL] [Abstract][Full Text] [Related]
4. Chestwall segmentation in 3D breast ultrasound using a deformable volume model.
Huisman H; Karssemeijer N
Inf Process Med Imaging; 2007; 20():245-56. PubMed ID: 17633704
[TBL] [Abstract][Full Text] [Related]
5. Automated 3D ultrasound image segmentation to aid breast cancer image interpretation.
Gu P; Lee WM; Roubidoux MA; Yuan J; Wang X; Carson PL
Ultrasonics; 2016 Feb; 65():51-8. PubMed ID: 26547117
[TBL] [Abstract][Full Text] [Related]
6. Tracking of carotid arteries in ultrasound images.
Liu S; Padfield D; Mendonca P
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):526-33. PubMed ID: 24579181
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review.
Jalalian A; Mashohor SB; Mahmud HR; Saripan MI; Ramli AR; Karasfi B
Clin Imaging; 2013; 37(3):420-6. PubMed ID: 23153689
[TBL] [Abstract][Full Text] [Related]
9. Accuracy of an automated breast volume ultrasound system for assessment of the pre-operative extent of pure ductal carcinoma in situ: comparison with a conventional handheld ultrasound examination.
Li N; Jiang YX; Zhu QL; Zhang J; Dai Q; Liu H; Yang Q; Wang HY; Lai XJ; Sun Q
Ultrasound Med Biol; 2013 Dec; 39(12):2255-63. PubMed ID: 24035630
[TBL] [Abstract][Full Text] [Related]
10. Improved breast cancer detection in asymptomatic women using 3D-automated breast ultrasound in mammographically dense breasts.
Giuliano V; Giuliano C
Clin Imaging; 2013; 37(3):480-6. PubMed ID: 23116728
[TBL] [Abstract][Full Text] [Related]
11. Completely automated segmentation approach for breast ultrasound images using multiple-domain features.
Shan J; Cheng HD; Wang Y
Ultrasound Med Biol; 2012 Feb; 38(2):262-75. PubMed ID: 22230134
[TBL] [Abstract][Full Text] [Related]
12. Reducing motion artifacts in 3-D breast ultrasound using non-linear registration.
Boehler T; Peitgen HO
Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):998-1005. PubMed ID: 18982702
[TBL] [Abstract][Full Text] [Related]
13. Learning a structured graphical model with boosted top-down features for ultrasound image segmentation.
Hao Z; Wang Q; Wang X; Kim JB; Hwang Y; Cho BH; Guo P; Lee WK
Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):227-34. PubMed ID: 24505670
[TBL] [Abstract][Full Text] [Related]
14. Multi-modality 3D breast imaging with X-Ray tomosynthesis and automated ultrasound.
Sinha SP; Roubidoux MA; Helvie MA; Nees AV; Goodsitt MM; LeCarpentier GL; Fowlkes JB; Chalek CL; Carson PL
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1335-8. PubMed ID: 18002210
[TBL] [Abstract][Full Text] [Related]
15. A new methodology based on q-entropy for breast lesion classification in 3-D ultrasound images.
Rodrigues PS; Giraldi GA; Provenzano M; Faria MD; Chang RF; Suri JS
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1048-51. PubMed ID: 17945617
[TBL] [Abstract][Full Text] [Related]
16. Three-Dimensional Assessment of Automated Breast Volume Scanner Compared with Handheld Ultrasound in Pre-Operative Breast Invasive Ductal Carcinomas: A Pilot Study of 51 Cases.
Xu C; Wei S; Xie Y; Guan X; Yang B
Ultrasound Med Biol; 2016 Sep; 42(9):2089-96. PubMed ID: 27339762
[TBL] [Abstract][Full Text] [Related]
17. Segmentation of solid nodules in ultrasonographic breast image based on wavelet transform.
Park S; Kong HJ; Moon WK; Kim HC
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5650-3. PubMed ID: 18003294
[TBL] [Abstract][Full Text] [Related]
18. Differentiation of Breast Lesions by Use of HyperSPACE: Hyper-Spectral Analysis for Characterization in Echography.
Granchi S; Vannacci E; Biagi E; Masotti L
Ultrasound Med Biol; 2015 Jul; 41(7):1967-80. PubMed ID: 25840476
[TBL] [Abstract][Full Text] [Related]
19. Diagnostic performance of automated breast ultrasound as a replacement for a hand-held second-look ultrasound for breast lesions detected initially on magnetic resonance imaging.
Chae EY; Shin HJ; Kim HJ; Yoo H; Baek S; Cha JH; Kim HH
Ultrasound Med Biol; 2013 Dec; 39(12):2246-54. PubMed ID: 24035627
[TBL] [Abstract][Full Text] [Related]
20. Whole breast lesion detection using naive bayes classifier for portable ultrasound.
Yang MC; Huang CS; Chen JH; Chang RF
Ultrasound Med Biol; 2012 Nov; 38(11):1870-80. PubMed ID: 22975038
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
