BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 19800057)

  • 1. 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]  

  • 2. 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]  

  • 3. Detection of masses in mammogram images using CNN, geostatistic functions and SVM.
    Sampaio WB; Diniz EM; Silva AC; de Paiva AC; Gattass M
    Comput Biol Med; 2011 Aug; 41(8):653-64. PubMed ID: 21703605
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Advanced integrated technique in breast cancer thermography.
    Ng EY; Kee EC
    J Med Eng Technol; 2008; 32(2):103-14. PubMed ID: 17852648
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Diagnosis of breast cancer using diffuse reflectance spectroscopy: Comparison of a Monte Carlo versus partial least squares analysis based feature extraction technique.
    Zhu C; Palmer GM; Breslin TM; Harter J; Ramanujam N
    Lasers Surg Med; 2006 Aug; 38(7):714-24. PubMed ID: 16799981
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait.
    Kamruzzaman J; Begg RK
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2479-90. PubMed ID: 17153205
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of multiexcitation fluorescence and diffuse reflectance spectroscopy for the diagnosis of breast cancer (March 2003).
    Palmer GM; Zhu C; Breslin TM; Xu F; Gilchrist KW; Ramanujam N
    IEEE Trans Biomed Eng; 2003 Nov; 50(11):1233-42. PubMed ID: 14619993
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
    Mavroforakis ME; Georgiou HV; Dimitropoulos N; Cavouras D; Theodoridis S
    Artif Intell Med; 2006 Jun; 37(2):145-62. PubMed ID: 16716579
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.
    Mahersia H; Boulehmi H; Hamrouni K
    Comput Methods Programs Biomed; 2016 Apr; 126():46-62. PubMed ID: 26831269
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine.
    Malar E; Kandaswamy A; Chakravarthy D; Giri Dharan A
    Comput Biol Med; 2012 Sep; 42(9):898-905. PubMed ID: 22871899
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. MammoSys: A content-based image retrieval system using breast density patterns.
    de Oliveira JE; Machado AM; Chavez GC; Lopes AP; Deserno TM; Araújo Ade A
    Comput Methods Programs Biomed; 2010 Sep; 99(3):289-97. PubMed ID: 20207441
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications.
    Wei L; Yang Y; Nishikawa RM; Jiang Y
    IEEE Trans Med Imaging; 2005 Mar; 24(3):371-80. PubMed ID: 15754987
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. MRT letter: segmentation and texture-based classification of breast mammogram images.
    Naveed N; Jaffar MA; Choi TS
    Microsc Res Tech; 2011 Nov; 74(11):985-7. PubMed ID: 21898670
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiclass primal support vector machines for breast density classification.
    Land WH; Verheggen EA
    Int J Comput Biol Drug Des; 2009; 2(1):21-57. PubMed ID: 20054985
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Improved CAD System for Breast Cancer Diagnosis Based on Generalized Pseudo-Zernike Moment and Ada-DEWNN Classifier.
    Singh SP; Urooj S
    J Med Syst; 2016 Apr; 40(4):105. PubMed ID: 26892455
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computerized-aid diagnosis of breast mass using ultrasound image.
    Tian JW; Sun LT; Guo YH; Cheng HD; Zhang YT
    Med Phys; 2007 Aug; 34(8):3158-64. PubMed ID: 17879777
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.