BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

77 related articles for article (PubMed ID: 18774128)

  • 1. Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques.
    Papadopoulos A; Fotiadis DI; Costaridou L
    Comput Biol Med; 2008 Oct; 38(10):1045-55. PubMed ID: 18774128
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Denoising and enhancing digital mammographic images for visual screening.
    Scharcanski J; Jung CR
    Comput Med Imaging Graph; 2006 Jun; 30(4):243-54. PubMed ID: 16839742
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparing the performance of image enhancement methods to detect microcalcification clusters in digital mammography.
    Moradmand H; Setayeshi S; Karimian AR; Sirous M; Akbari ME
    Iran J Cancer Prev; 2012; 5(2):61-8. PubMed ID: 25628822
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Improvement of digital mammogram images using histogram equalization, histogram stretching and median filter.
    Langarizadeh M; Mahmud R; Ramli AR; Napis S; Beikzadeh MR; Rahman WE
    J Med Eng Technol; 2011 Feb; 35(2):103-8. PubMed ID: 21204610
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.
    Pisano ED; Zong S; Hemminger BM; DeLuca M; Johnston RE; Muller K; Braeuning MP; Pizer SM
    J Digit Imaging; 1998 Nov; 11(4):193-200. PubMed ID: 9848052
    [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. Multiplexed wavelet transform technique for detection of microcalcification in digitized mammograms.
    Mini MG; Devassia VP; Thomas T
    J Digit Imaging; 2004 Dec; 17(4):285-91. PubMed ID: 15692872
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Digital mammography: hybrid four-channel wavelet transform for microcalcification segmentation.
    Qian W; Clarke LP; Song D; Clark RA
    Acad Radiol; 1998 May; 5(5):354-64. PubMed ID: 9597103
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A biologically inspired algorithm for microcalcification cluster detection.
    Linguraru MG; Marias K; English R; Brady M
    Med Image Anal; 2006 Dec; 10(6):850-62. PubMed ID: 16945569
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Phase-adaptive superresolution of mammographic images using complex wavelets.
    Wong A; Scharcanski J
    IEEE Trans Image Process; 2009 May; 18(5):1140-6. PubMed ID: 19304484
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Use of wavelet analysis for contrast enhancement in mammography.
    Sakellaropoulos P; Costaridou L; Cavouras D; Bezerianos A; Panayiotakis G
    Stud Health Technol Inform; 1997; 43 Pt B():502-6. PubMed ID: 10179716
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A histogram modification framework and its application for image contrast enhancement.
    Arici T; Dikbas S; Altunbasak Y
    IEEE Trans Image Process; 2009 Sep; 18(9):1921-35. PubMed ID: 19403363
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancement of Mammographic Images Using Histogram-Based Techniques for Their Classification Using CNN.
    Alshamrani K; Alshamrani HA; Alqahtani FF; Almutairi BS
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616832
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Improving mammographic interpretation: double reading and computer-aided diagnosis.
    Helvie M
    Radiol Clin North Am; 2007 Sep; 45(5):801-11, vi. PubMed ID: 17888770
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology.
    Wu S; Yu S; Yang Y; Xie Y
    Comput Math Methods Med; 2013; 2013():716948. PubMed ID: 24416072
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian wavelet-based image denoising using the Gauss-Hermite expansion.
    Rahman SM; Ahmad MO; Swamy MN
    IEEE Trans Image Process; 2008 Oct; 17(10):1755-71. PubMed ID: 18784025
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.