BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

784 related articles for article (PubMed ID: 22957633)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Segmentation of breast ultrasound images based on active contours using neutrosophic theory.
    Lotfollahi M; Gity M; Ye JY; Mahlooji Far A
    J Med Ultrason (2001); 2018 Apr; 45(2):205-212. PubMed ID: 28821993
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A novel myocardium segmentation approach based on neutrosophic active contour model.
    Guo Y; Du GQ; Xue JY; Xia R; Wang YH
    Comput Methods Programs Biomed; 2017 Apr; 142():109-116. PubMed ID: 28325439
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. ACCOMP: Augmented cell competition algorithm for breast lesion demarcation in sonography.
    Cheng JZ; Chou YH; Huang CS; Chang YC; Tiu CM; Yeh FC; Chen KW; Tsou CH; Chen CM
    Med Phys; 2010 Dec; 37(12):6240-52. PubMed ID: 21302781
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Semiautomatic segmentation of aortic valve from sequenced ultrasound image using a novel shape-constraint GCV model.
    Guo Y; Dong B; Wang B; Xie H; Zhang S; Gu L
    Med Phys; 2014 Jul; 41(7):072901. PubMed ID: 24989411
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Segmentation of Breast Lesions in Ultrasound Images through Multiresolution Analysis Using Undecimated Discrete Wavelet Transform.
    Prabusankarlal KM; Thirumoorthy P; Manavalan R
    Ultrason Imaging; 2016 Nov; 38(6):384-402. PubMed ID: 26586725
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation of prostate from ultrasound images using level sets on active band and intensity variation across edges.
    Li X; Li C; Fedorov A; Kapur T; Yang X
    Med Phys; 2016 Jun; 43(6):3090-3103. PubMed ID: 27277056
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation.
    Militello C; Vitabile S; Rundo L; Russo G; Midiri M; Gilardi MC
    Comput Biol Med; 2015 Jul; 62():277-92. PubMed ID: 25966922
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.
    Kumar SN; Fred AL; Varghese PS
    J Digit Imaging; 2019 Apr; 32(2):322-335. PubMed ID: 30402671
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Carotid plaque segmentation from three-dimensional ultrasound images by direct three-dimensional sparse field level-set optimization.
    Cheng J; Chen Y; Yu Y; Chiu B
    Comput Biol Med; 2018 Mar; 94():27-40. PubMed ID: 29407996
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 40.