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 *

194 related articles for article (PubMed ID: 17021926)

  • 1. Fractal analysis of contours of breast masses in mammograms.
    Rangayyan RM; Nguyen TM
    J Digit Imaging; 2007 Sep; 20(3):223-37. PubMed ID: 17021926
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of fractal analysis to mammography.
    Raguso G; Ancona A; Chieppa L; L'abbate S; Pepe ML; Mangieri F; De Palo M; Rangayyan RM
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3182-5. PubMed ID: 21096599
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Shape Analysis of Breast Masses in Mammograms via the Fractal Dimension.
    Nguyen T; Rangayyan R
    Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():3210-3. PubMed ID: 17282928
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fractal analysis of contours of breast masses in mammograms via the power spectra of their signatures.
    Rangayyan RM; Oloumi F; Nguyen TM
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():6737-40. PubMed ID: 21095828
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Feature extraction from a signature based on the turning angle function for the classification of breast tumors.
    Guliato D; de Carvalho JD; Rangayyan RM; Santiago SA
    J Digit Imaging; 2008 Jun; 21(2):129-44. PubMed ID: 17972137
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. An efficient fractal method for detection and diagnosis of breast masses in mammograms.
    Beheshti SM; AhmadiNoubari H; Fatemizadeh E; Khalili M
    J Digit Imaging; 2014 Oct; 27(5):661-9. PubMed ID: 24777687
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment.
    Li H; Giger ML; Olopade OI; Lan L
    Acad Radiol; 2007 May; 14(5):513-21. PubMed ID: 17434064
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension.
    Park SC; Wang XH; Zheng B
    Acad Radiol; 2009 Oct; 16(10):1171-8. PubMed ID: 19524455
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fractal analysis of mammographic lesions: a feasibility study quantifying the difference between benign and malignant masses.
    Velanovich V
    Am J Med Sci; 1996 May; 311(5):211-4. PubMed ID: 8615395
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast masses in mammography classification with local contour features.
    Li H; Meng X; Wang T; Tang Y; Yin Y
    Biomed Eng Online; 2017 Apr; 16(1):44. PubMed ID: 28410616
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Wavelet-based 3D reconstruction of microcalcification clusters from two mammographic views: new evidence that fractal tumors are malignant and Euclidean tumors are benign.
    Batchelder KA; Tanenbaum AB; Albert S; Guimond L; Kestener P; Arneodo A; Khalil A
    PLoS One; 2014; 9(9):e107580. PubMed ID: 25222610
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Polygonal modeling of contours of breast tumors with the preservation of spicules.
    Guliato D; Rangayyan RM; Carvalho JD; Santiago SA
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):14-20. PubMed ID: 18232342
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spiculation-preserving polygonal modeling of contours of breast tumors.
    Guliato D; Rangayyan RM; Daloia de Carvalho J; Anchieta Santiago S
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2791-4. PubMed ID: 17945740
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes.
    Georgiou H; Mavroforakis M; Dimitropoulos N; Cavouras D; Theodoridis S
    Artif Intell Med; 2007 Sep; 41(1):39-55. PubMed ID: 17714924
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Boundary modelling and shape analysis methods for classification of mammographic masses.
    Rangayyan RM; Mudigonda NR; Desautels JE
    Med Biol Eng Comput; 2000 Sep; 38(5):487-96. PubMed ID: 11094803
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of breast ultrasound images using fractal feature.
    Chen DR; Chang RF; Chen CJ; Ho MF; Kuo SJ; Chen ST; Hung SJ; Moon WK
    Clin Imaging; 2005; 29(4):235-45. PubMed ID: 15967313
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Discrimination of MR images of breast masses with fractal-interpolation function models.
    Penn AI; Bolinger L; Schnall MD; Loew MH
    Acad Radiol; 1999 Mar; 6(3):156-63. PubMed ID: 10898034
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Simulation and assessment of realistic breast lesions using fractal growth models.
    Rashidnasab A; Elangovan P; Yip M; Diaz O; Dance DR; Young KC; Wells K
    Phys Med Biol; 2013 Aug; 58(16):5613-27. PubMed ID: 23892735
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Fractal analysis in the diagnosis of breast tumors].
    Crişan DA; Lesaru M; Dobrescu R; Vasilescu C
    Chirurgia (Bucur); 2007; 102(1):27-30. PubMed ID: 17410726
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.