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 *

82 related articles for article (PubMed ID: 9845307)

  • 1. Automated seeded lesion segmentation on digital mammograms.
    Kupinski MA; Giger ML
    IEEE Trans Med Imaging; 1998 Aug; 17(4):510-7. PubMed ID: 9845307
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A dual-stage method for lesion segmentation on digital mammograms.
    Yuan Y; Giger ML; Li H; Suzuki K; Sennett C
    Med Phys; 2007 Nov; 34(11):4180-93. PubMed ID: 18072482
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Study of mass segmentation algorithm for digital mammograms].
    Chen L; Zhang K; Jin Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Dec; 25(6):1282-4. PubMed ID: 19166192
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of mammography by applying GrowCut for mass detection.
    Cordeiro FR; Santos WP; Silva-Filhoa AG
    Stud Health Technol Inform; 2013; 192():87-91. PubMed ID: 23920521
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fully automated gradient based breast boundary detection for digitized X-ray mammograms.
    Kus P; Karagoz I
    Comput Biol Med; 2012 Jan; 42(1):75-82. PubMed ID: 22118773
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combined adaptive enhancement and region-growing segmentation of breast masses on digitized mammograms.
    Petrick N; Chan HP; Sahiner B; Helvie MA
    Med Phys; 1999 Aug; 26(8):1642-54. PubMed ID: 10501064
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic detection of breast border and nipple in digital mammograms.
    Méndez AJ; Tahoces PG; Lado MJ; Souto M; Correa JL; Vidal JJ
    Comput Methods Programs Biomed; 1996 May; 49(3):253-62. PubMed ID: 8800610
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated segmentation of digitized mammograms.
    Bick U; Giger ML; Schmidt RA; Nishikawa RM; Wolverton DE; Doi K
    Acad Radiol; 1995 Jan; 2(1):1-9. PubMed ID: 9419517
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accurate segmentation of the breast region from digitized mammograms.
    Ojala T; Näppi J; Nevalainen O
    Comput Med Imaging Graph; 2001; 25(1):47-59. PubMed ID: 11120407
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computerized detection of mass lesions in digital breast tomosynthesis images using two- and three dimensional radial gradient index segmentation.
    Reiser I; Nishikawa RM; Giger ML; Wu T; Rafferty E; Moore RH; Kopans DB
    Technol Cancer Res Treat; 2004 Oct; 3(5):437-41. PubMed ID: 15453808
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of two methods for the segmentation of masses in the digital mammograms.
    Dubey RB; Hanmandlu M; Gupta SK
    Comput Med Imaging Graph; 2010 Apr; 34(3):185-91. PubMed ID: 19828291
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation of suspicious densities in digital mammograms.
    te Brake GM; Karssemeijer N
    Med Phys; 2001 Feb; 28(2):259-66. PubMed ID: 11243351
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms.
    Acho SN; Rae WI
    Comput Math Methods Med; 2015; 2015():349874. PubMed ID: 26379762
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Scale-space signatures for the detection of clustered microcalculations in digital mammograms.
    Netsch T; Peitgen HO
    IEEE Trans Med Imaging; 1999 Sep; 18(9):774-86. PubMed ID: 10571382
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mammographic images segmentation based on chaotic map clustering algorithm.
    Iacomi M; Cascio D; Fauci F; Raso G
    BMC Med Imaging; 2014 Mar; 14():12. PubMed ID: 24666766
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images.
    Chen W; Giger ML; Bick U
    Acad Radiol; 2006 Jan; 13(1):63-72. PubMed ID: 16399033
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Comparison of diagnostic accuracy of breast masses using digitized images versus screen-film mammography.
    Liang Z; Du X; Liu J; Yao X; Yang Y; Li K
    Acta Radiol; 2008 Jul; 49(6):618-22. PubMed ID: 18568552
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multilevel learning-based segmentation of ill-defined and spiculated masses in mammograms.
    Tao Y; Lo SC; Freedman MT; Makariou E; Xuan J
    Med Phys; 2010 Nov; 37(11):5993-6002. PubMed ID: 21158311
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammograms.
    Wei J; Hadjiiski LM; Sahiner B; Chan HP; Ge J; Roubidoux MA; Helvie MA; Zhou C; Wu YT; Paramagul C; Zhang Y
    Acad Radiol; 2007 Jun; 14(6):659-69. PubMed ID: 17502255
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.