320 related articles for article (PubMed ID: 22230134)
1. 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]
2. Automatic detection of regions of interest in breast ultrasound images based on local phase information.
Wang X; Guo Y; Wang Y
Biomed Mater Eng; 2015; 26 Suppl 1():S1265-73. PubMed ID: 26405886
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Computer-aided diagnosis based on speckle patterns in ultrasound images.
Moon WK; Lo CM; Huang CS; Chen JH; Chang RF
Ultrasound Med Biol; 2012 Jul; 38(7):1251-61. PubMed ID: 22579548
[TBL] [Abstract][Full Text] [Related]
9. A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering.
Shan J; Cheng HD; Wang Y
Med Phys; 2012 Sep; 39(9):5669-82. PubMed ID: 22957633
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. New Fully Automated Method for Segmentation of Breast Lesions on Ultrasound Based on Texture Analysis.
Gómez-Flores W; Ruiz-Ortega BA
Ultrasound Med Biol; 2016 Jul; 42(7):1637-50. PubMed ID: 27095150
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. Automated segmentation of ultrasonic breast lesions using statistical texture classification and active contour based on probability distance.
Liu B; Cheng HD; Huang J; Tian J; Liu J; Tang X
Ultrasound Med Biol; 2009 Aug; 35(8):1309-24. PubMed ID: 19481332
[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. A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set.
Guo Y; Şengür A; Tian JW
Comput Methods Programs Biomed; 2016 Jan; 123():43-53. PubMed ID: 26483304
[TBL] [Abstract][Full Text] [Related]
19. Breast mass segmentation in mammography using plane fitting and dynamic programming.
Song E; Jiang L; Jin R; Zhang L; Yuan Y; Li Q
Acad Radiol; 2009 Jul; 16(7):826-35. PubMed ID: 19362024
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]