BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 19481332)

  • 1. 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]  

  • 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. 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]  

  • 4. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses.
    Daoud MI; Bdair TM; Al-Najar M; Alazrai R
    Comput Math Methods Med; 2016; 2016():6740956. PubMed ID: 28127383
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts.
    Zhou Z; Wu W; Wu S; Tsui PH; Lin CC; Zhang L; Wang T
    Ultrason Imaging; 2014 Oct; 36(4):256-76. PubMed ID: 24759696
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. An effective approach of lesion segmentation within the breast ultrasound image based on the cellular automata principle.
    Liu Y; Cheng HD; Huang J; Zhang Y; Tang X
    J Digit Imaging; 2012 Oct; 25(5):580-90. PubMed ID: 22237810
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model.
    Hu Y; Guo Y; Wang Y; Yu J; Li J; Zhou S; Chang C
    Med Phys; 2019 Jan; 46(1):215-228. PubMed ID: 30374980
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Two-Step Segmentation Method for Breast Ultrasound Masses Based on Multi-resolution Analysis.
    Rodrigues R; Braz R; Pereira M; Moutinho J; Pinheiro AM
    Ultrasound Med Biol; 2015 Jun; 41(6):1737-48. PubMed ID: 25736608
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.
    Liu L; Li K; Qin W; Wen T; Li L; Wu J; Gu J
    Med Biol Eng Comput; 2018 Feb; 56(2):183-199. PubMed ID: 29292471
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Breast ultrasound image segmentation: a survey.
    Huang Q; Luo Y; Zhang Q
    Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):493-507. PubMed ID: 28070777
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Automatic segmentation of tumors in B-Mode breast ultrasound images using information gain based neutrosophic clustering.
    Lal M; Kaur L; Gupta S
    J Xray Sci Technol; 2018; 26(2):209-225. PubMed ID: 29154313
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel content-based active contour model for brain tumor segmentation.
    Sachdeva J; Kumar V; Gupta I; Khandelwal N; Ahuja CK
    Magn Reson Imaging; 2012 Jun; 30(5):694-715. PubMed ID: 22459443
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Breast ultrasound image classification based on multiple-instance learning.
    Ding J; Cheng HD; Huang J; Liu J; Zhang Y
    J Digit Imaging; 2012 Oct; 25(5):620-7. PubMed ID: 22733258
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.