BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

100 related articles for article (PubMed ID: 20851789)

  • 1. Detection of architectural distortion in prior mammograms.
    Banik S; Rangayyan RM; Desautels JE
    IEEE Trans Med Imaging; 2011 Feb; 30(2):279-94. PubMed ID: 20851789
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer-aided detection of architectural distortion in prior mammograms of interval cancer.
    Rangayyan RM; Banik S; Desautels JE
    J Digit Imaging; 2010 Oct; 23(5):611-31. PubMed ID: 20127270
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection of architectural distortion in prior mammograms of interval-cancer cases with neural networks.
    Banik S; Rangayyan RM; Desautels JE
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6667-70. PubMed ID: 19964909
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Measures of angular spread and entropy for the detection of architectural distortion in prior mammograms.
    Banik S; Rangayyan RM; Desautels JE
    Int J Comput Assist Radiol Surg; 2013 Jan; 8(1):121-34. PubMed ID: 22460365
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of architectural distortion in prior mammograms via analysis of oriented patterns.
    Rangayyan RM; Banik S; Desautels JE
    J Vis Exp; 2013 Aug; (78):. PubMed ID: 24022326
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms.
    Rangayyan RM; Banik S; Chakraborty J; Mukhopadhyay S; Desautels JE
    Int J Comput Assist Radiol Surg; 2013 Jul; 8(4):527-45. PubMed ID: 23054747
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMD.
    Zyout I; Togneri R
    Comput Med Imaging Graph; 2018 Dec; 70():173-184. PubMed ID: 29691123
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of structural similarity in mammograms for detection of bilateral asymmetry.
    Casti P; Mencattini A; Salmeri M; Rangayyan RM
    IEEE Trans Med Imaging; 2015 Feb; 34(2):662-71. PubMed ID: 25361502
    [TBL] [Abstract][Full Text] [Related]  

  • 9. False-positive reduction technique for detection of masses on digital mammograms: global and local multiresolution texture analysis.
    Wei D; Chan HP; Petrick N; Sahiner B; Helvie MA; Adler DD; Goodsitt MM
    Med Phys; 1997 Jun; 24(6):903-14. PubMed ID: 9198026
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of microcalcifications in digital mammograms using wavelet filter and Markov random field model.
    Yu SN; Li KY; Huang YK
    Comput Med Imaging Graph; 2006 Apr; 30(3):163-73. PubMed ID: 16723208
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multimodality computerized diagnosis of breast lesions using mammography and sonography.
    Drukker K; Horsch K; Giger ML
    Acad Radiol; 2005 Aug; 12(8):970-9. PubMed ID: 16087091
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms.
    Guo Q; Shao J; Ruiz VF
    Int J Comput Assist Radiol Surg; 2009 Jan; 4(1):11-25. PubMed ID: 20033598
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A study on the computerized fractal analysis of architectural distortion in screening mammograms.
    Tourassi GD; Delong DM; Floyd CE
    Phys Med Biol; 2006 Mar; 51(5):1299-312. PubMed ID: 16481695
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Gabor filters and phase portraits for the detection of architectural distortion in mammograms.
    Rangayyan RM; Ayres FJ
    Med Biol Eng Comput; 2006 Oct; 44(10):883-94. PubMed ID: 16991010
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decision support system for breast cancer detection using mammograms.
    Ganesan K; Acharya RU; Chua CK; Min LC; Mathew B; Thomas AK
    Proc Inst Mech Eng H; 2013 Jul; 227(7):721-32. PubMed ID: 23636749
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.
    Zheng Y; Keller BM; Ray S; Wang Y; Conant EF; Gee JC; Kontos D
    Med Phys; 2015 Jul; 42(7):4149-60. PubMed ID: 26133615
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Correction to "Detection of architectural distortion in prior mammograms using Gabor filters, phase portraits, fractal dimension, and texture analysis [1]".
    Banik S; Rangayyan RM
    Int J Comput Assist Radiol Surg; 2010 Jul; 5(4):421-3. PubMed ID: 20232262
    [No Abstract]   [Full Text] [Related]  

  • 18. A ranklet-based image representation for mass classification in digital mammograms.
    Masotti M
    Med Phys; 2006 Oct; 33(10):3951-61. PubMed ID: 17089857
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM.
    Braz Junior G; Cardoso de Paiva A; Corrêa Silva A; Cesar Muniz de Oliveira A
    Comput Biol Med; 2009 Dec; 39(12):1063-72. PubMed ID: 19800057
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Compression paddle tilt correction in full-field digital mammograms.
    Kallenberg MG; Karssemeijer N
    Phys Med Biol; 2012 Feb; 57(3):703-15. PubMed ID: 22241616
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.