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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

832 related articles for article (PubMed ID: 12715992)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Diffuse boundary extraction of breast masses on ultrasound by leak plugging.
    Cary TW; Conant EF; Arger PH; Sehgal CM
    Med Phys; 2005 Nov; 32(11):3318-28. PubMed ID: 16370419
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prostate boundary segmentation from 3D ultrasound images.
    Hu N; Downey DB; Fenster A; Ladak HM
    Med Phys; 2003 Jul; 30(7):1648-59. PubMed ID: 12906182
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model.
    Kozegar E; Soryani M; Behnam H; Salamati M; Tan T
    IEEE Trans Med Imaging; 2018 Apr; 37(4):918-928. PubMed ID: 29610071
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 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. Computerized characterization of breast masses on three-dimensional ultrasound volumes.
    Sahiner B; Chan HP; Roubidoux MA; Helvie MA; Hadjiiski LM; Ramachandran A; Paramagul C; LeCarpentier GL; Nees A; Blane C
    Med Phys; 2004 Apr; 31(4):744-54. PubMed ID: 15124991
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Three-dimensional region-based segmentation for breast tumors on sonography.
    Huang YL; Chen DR; Chang SC
    J Ultrasound Med; 2013 May; 32(5):835-46. PubMed ID: 23620326
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 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. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 42.