318 related articles for article (PubMed ID: 19362024)
1. 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]
2. Hybrid segmentation of mass in mammograms using template matching and dynamic programming.
Song E; Xu S; Xu X; Zeng J; Lan Y; Zhang S; Hung CC
Acad Radiol; 2010 Nov; 17(11):1414-24. PubMed ID: 20817575
[TBL] [Abstract][Full Text] [Related]
3. A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography.
Timp S; Karssemeijer N
Med Phys; 2004 May; 31(5):958-71. PubMed ID: 15191279
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. A completely automated CAD system for mass detection in a large mammographic database.
Bellotti R; De Carlo F; Tangaro S; Gargano G; Maggipinto G; Castellano M; Massafra R; Cascio D; Fauci F; Magro R; Raso G; Lauria A; Forni G; Bagnasco S; Cerello P; Zanon E; Cheran SC; Lopez Torres E; Bottigli U; Masala GL; Oliva P; Retico A; Fantacci ME; Cataldo R; De Mitri I; De Nunzio G
Med Phys; 2006 Aug; 33(8):3066-75. PubMed ID: 16964885
[TBL] [Abstract][Full Text] [Related]
6. Improved dynamic-programming-based algorithms for segmentation of masses in mammograms.
Rojas Domínguez A; Nandi AK
Med Phys; 2007 Nov; 34(11):4256-69. PubMed ID: 18072490
[TBL] [Abstract][Full Text] [Related]
7. Automatic left ventricle segmentation in cardiac MRI using topological stable-state thresholding and region restricted dynamic programming.
Liu H; Hu H; Xu X; Song E
Acad Radiol; 2012 Jun; 19(6):723-31. PubMed ID: 22465463
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Automated detection of breast mass spiculation levels and evaluation of scheme performance.
Jiang L; Song E; Xu X; Ma G; Zheng B
Acad Radiol; 2008 Dec; 15(12):1534-44. PubMed ID: 19000870
[TBL] [Abstract][Full Text] [Related]
10. 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]
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. 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. 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]
14. Breast mass contour segmentation algorithm in digital mammograms.
Berber T; Alpkocak A; Balci P; Dicle O
Comput Methods Programs Biomed; 2013 May; 110(2):150-9. PubMed ID: 23273502
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Mammography segmentation with maximum likelihood active contours.
Rahmati P; Adler A; Hamarneh G
Med Image Anal; 2012 Aug; 16(6):1167-86. PubMed ID: 22831774
[TBL] [Abstract][Full Text] [Related]
17. Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Yuan Y; Giger ML; Li H; Bhooshan N; Sennett CA
Acad Radiol; 2010 Sep; 17(9):1158-67. PubMed ID: 20692620
[TBL] [Abstract][Full Text] [Related]
18. Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model.
Tan T; Gubern-Mérida A; Borelli C; Manniesing R; van Zelst J; Wang L; Zhang W; Platel B; Mann RM; Karssemeijer N
Med Phys; 2016 Jul; 43(7):4074. PubMed ID: 27370126
[TBL] [Abstract][Full Text] [Related]
19. Computed-aided diagnosis (CAD) in the detection of breast cancer.
Dromain C; Boyer B; Ferré R; Canale S; Delaloge S; Balleyguier C
Eur J Radiol; 2013 Mar; 82(3):417-23. PubMed ID: 22939365
[TBL] [Abstract][Full Text] [Related]
20. Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance.
Paquerault S; Yarusso LM; Papaioannou J; Jiang Y; Nishikawa RM
Med Phys; 2004 Sep; 31(9):2648-57. PubMed ID: 15487748
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]