168 related articles for article (PubMed ID: 24505670)
1. 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]
2. 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]
3. 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]
4. 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]
5. Combining CRF and multi-hypothesis detection for accurate lesion segmentation in breast sonograms.
Hao Z; Wang Q; Seong YK; Lee JH; Ren H; Kim JY
Med Image Comput Comput Assist Interv; 2012; 15(Pt 1):504-11. PubMed ID: 23285589
[TBL] [Abstract][Full Text] [Related]
6. Computerized lesion segmentation of breast ultrasound based on marker-controlled watershed transformation.
Gómez W; Leija L; Alvarenga AV; Infantosi AF; Pereira WC
Med Phys; 2010 Jan; 37(1):82-95. PubMed ID: 20175469
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images.
Moon WK; Shen YW; Huang CS; Chiang LR; Chang RF
Ultrasound Med Biol; 2011 Apr; 37(4):539-48. PubMed ID: 21420580
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Category-independent object proposals with diverse ranking.
Endres I; Hoiem D
IEEE Trans Pattern Anal Mach Intell; 2014 Feb; 36(2):222-34. PubMed ID: 24356345
[TBL] [Abstract][Full Text] [Related]
12. A new automated method for the segmentation and characterization of breast masses on ultrasound images.
Cui J; Sahiner B; Chan HP; Nees A; Paramagul C; Hadjiiski LM; Zhou C; Shi J
Med Phys; 2009 May; 36(5):1553-65. PubMed ID: 19544771
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. 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]
17. Effect of a novel segmentation algorithm on radiologists' diagnosis of breast masses using ultrasound imaging.
Tian JW; Ning CP; Guo YH; Cheng HD; Tang XL
Ultrasound Med Biol; 2012 Jan; 38(1):119-27. PubMed ID: 22104530
[TBL] [Abstract][Full Text] [Related]
18. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features.
Joo S; Yang YS; Moon WK; Kim HC
IEEE Trans Med Imaging; 2004 Oct; 23(10):1292-300. PubMed ID: 15493696
[TBL] [Abstract][Full Text] [Related]
19. Assessing the combined performance of texture and morphological parameters in distinguishing breast tumors in ultrasound images.
Alvarenga AV; Infantosi AF; Pereira WC; Azevedo CM
Med Phys; 2012 Dec; 39(12):7350-8. PubMed ID: 23231284
[TBL] [Abstract][Full Text] [Related]
20. Spectral clustering algorithms for ultrasound image segmentation.
Archip N; Rohling R; Cooperberg P; Tahmasebpour H; Warfield SK
Med Image Comput Comput Assist Interv; 2005; 8(Pt 2):862-9. PubMed ID: 16686041
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]