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 *

103 related articles for article (PubMed ID: 3409679)

  • 1. Mammographic feature enhancement by computerized image processing.
    Dhawan AP; Le Royer E
    Comput Methods Programs Biomed; 1988; 27(1):23-35. PubMed ID: 3409679
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Enhancement of mammographic features by optimal adaptive neighborhood image processing.
    Dhawan AP; Buelloni G; Gordon R
    IEEE Trans Med Imaging; 1986; 5(1):8-15. PubMed ID: 18243977
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adaptive mammographic image enhancement using first derivative and local statistics.
    Kim JK; Park JM; Song KS; Park HW
    IEEE Trans Med Imaging; 1997 Oct; 16(5):495-502. PubMed ID: 9368105
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparing the performance of mammographic enhancement algorithms: a preference study.
    Sivaramakrishna R; Obuchowski NA; Chilcote WA; Cardenosa G; Powell KA
    AJR Am J Roentgenol; 2000 Jul; 175(1):45-51. PubMed ID: 10882244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces.
    Chan HP; Sahiner B; Lam KL; Petrick N; Helvie MA; Goodsitt MM; Adler DD
    Med Phys; 1998 Oct; 25(10):2007-19. PubMed ID: 9800710
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Breast image pre-processing for mammographic tissue segmentation.
    He W; Hogg P; Juette A; Denton ER; Zwiggelaar R
    Comput Biol Med; 2015 Dec; 67():61-73. PubMed ID: 26498046
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated wavelets for enhancement of microcalcifications in digital mammography.
    Heinlein P; Drexl J; Schneider W
    IEEE Trans Med Imaging; 2003 Mar; 22(3):402-13. PubMed ID: 12760557
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Normalization of local contrast in mammograms.
    Veldkamp WJ; Karssemeijer N
    IEEE Trans Med Imaging; 2000 Jul; 19(7):731-8. PubMed ID: 11055788
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms.
    Li H; Liu KJ; Lo SC
    IEEE Trans Med Imaging; 1997 Dec; 16(6):785-98. PubMed ID: 9533579
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses.
    Yin FF; Giger ML; Vyborny CJ; Doi K; Schmidt RA
    Invest Radiol; 1993 Jun; 28(6):473-81. PubMed ID: 8320064
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of clustered microcalcifications in small field digital mammography.
    Arodź T; Kurdziel M; Popiela TJ; Sevre EO; Yuen DA
    Comput Methods Programs Biomed; 2006 Jan; 81(1):56-65. PubMed ID: 16310282
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The use of an interactive software program for quantitative characterization of microcalcifications on digitized film-screen mammograms.
    Leichter I; Lederman R; Bamberger P; Novak B; Fields S; Buchbinder SS
    Invest Radiol; 1999 Jun; 34(6):394-400. PubMed ID: 10353031
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Location of mammograms ROI's and reduction of false-positive.
    Salazar-Licea LA; Pedraza-Ortega JC; Pastrana-Palma A; Aceves-Fernandez MA
    Comput Methods Programs Biomed; 2017 May; 143():97-111. PubMed ID: 28391823
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A method for determination of optimal image enhancement for the detection of mammographic abnormalities.
    Puff DT; Pisano ED; Muller KE; Johnston RE; Hemminger BM; Burbeck CA; McLelland R; Pizer SM
    J Digit Imaging; 1994 Nov; 7(4):161-71. PubMed ID: 7858011
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Segmentation for the enhancement of microcalcifications in digital mammograms.
    Milosevic M; Jankovic D; Peulic A
    Technol Health Care; 2014; 22(5):701-15. PubMed ID: 25059254
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mass Detection in Mammographic Images Using Wavelet Processing and Adaptive Threshold Technique.
    Vikhe PS; Thool VR
    J Med Syst; 2016 Apr; 40(4):82. PubMed ID: 26811073
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Method for Microcalcifications Detection in Breast Mammograms.
    Alasadi AH; Al-Saedi AK
    J Med Syst; 2017 Apr; 41(4):68. PubMed ID: 28284000
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Improvement of detectability of microcalcifications by magnification digital mammography].
    Higashida Y; Hatemura M; Yoshida A; Takada T; Takahashi M
    Nihon Igaku Hoshasen Gakkai Zasshi; 1998 Aug; 58(9):473-8. PubMed ID: 9778932
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparative study of computer assisted assessment of image quality index for mammographic phantom images.
    Mayo P; Rodenas F; Verdú G; Villaescusa JI; Campayo JM
    Radiat Prot Dosimetry; 2005; 116(1-4 Pt 2):620-3. PubMed ID: 16604712
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An approach to the detection of lesions in mammograms using fuzzy image processing.
    Bayram B; Acar U
    J Int Med Res; 2007; 35(6):790-5. PubMed ID: 18034992
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.