BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

453 related articles for article (PubMed ID: 16229415)

  • 1. Relevance vector machine for automatic detection of clustered microcalcifications.
    Wei L; Yang Y; Nishikawa RM; Wernick MN; Edwards A
    IEEE Trans Med Imaging; 2005 Oct; 24(10):1278-85. PubMed ID: 16229415
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A similarity learning approach to content-based image retrieval: application to digital mammography.
    El-Naqa I; Yang Y; Galatsanos NP; Nishikawa RM; Wernick MN
    IEEE Trans Med Imaging; 2004 Oct; 23(10):1233-44. PubMed ID: 15493691
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A support vector machine approach for detection of microcalcifications.
    El-Naqa I; Yang Y; Wernick MN; Galatsanos NP; Nishikawa RM
    IEEE Trans Med Imaging; 2002 Dec; 21(12):1552-63. PubMed ID: 12588039
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Computer aided detection of clusters of microcalcifications on full field digital mammograms.
    Ge J; Sahiner B; Hadjiiski LM; Chan HP; Wei J; Helvie MA; Zhou C
    Med Phys; 2006 Aug; 33(8):2975-88. PubMed ID: 16964876
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model.
    Wang J; Nishikawa RM; Yang Y
    Med Phys; 2016 Jan; 43(1):159. PubMed ID: 26745908
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computer aided detection system for micro calcifications in digital mammograms.
    Mohamed H; Mabrouk MS; Sharawy A
    Comput Methods Programs Biomed; 2014 Oct; 116(3):226-35. PubMed ID: 24909786
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detecting microcalcifications in digital mammograms using wavelet domain hidden Markov tree model.
    Regentova E; Zhang L; Zheng J; Veni G
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1972-5. PubMed ID: 17945686
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic detection of microcalcifications with multi-fractal spectrum.
    Ding Y; Dai H; Zhang H
    Biomed Mater Eng; 2014; 24(6):3049-54. PubMed ID: 25227013
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.
    Sahiner B; Chan HP; Hadjiiski LM; Helvie MA; Wei J; Zhou C; Lu Y
    Med Phys; 2012 Jan; 39(1):28-39. PubMed ID: 22225272
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography.
    Wang J; Nishikawa RM; Yang Y
    Med Phys; 2017 Jul; 44(7):3726-3738. PubMed ID: 28477395
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic detection of microcalcifications using mathematical morphology and a support vector machine.
    Zhang E; Wang F; Li Y; Bai X
    Biomed Mater Eng; 2014; 24(1):53-9. PubMed ID: 24211882
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic detection of clustered microcalcifications in digital mammograms: Study on applying adaboost with SVM-based component classifiers.
    Dehghan F; Abrishami-Moghaddam H; Giti M
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4789-92. PubMed ID: 19163787
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CADx of mammographic masses and clustered microcalcifications: a review.
    Elter M; Horsch A
    Med Phys; 2009 Jun; 36(6):2052-68. PubMed ID: 19610294
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance.
    Paquerault S; Yarusso LM; Papaioannou J; Jiang Y; Nishikawa RM
    Med Phys; 2004 Sep; 31(9):2648-57. PubMed ID: 15487748
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Microcalcification detection based on wavelet domain hidden markov tree model: study for inclusion to computer aided diagnostic prompting system.
    Regentova E; Zhang L; Zheng J; Veni G
    Med Phys; 2007 Jun; 34(6):2206-19. PubMed ID: 17654922
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms.
    Nakayama R; Uchiyama Y; Yamamoto K; Watanabe R; Namba K
    IEEE Trans Biomed Eng; 2006 Feb; 53(2):273-83. PubMed ID: 16485756
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Classification of clusters of microcalcifications in digital breast tomosynthesis.
    Ho CP; Tromans C; Schnabel JA; Brady M
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3166-9. PubMed ID: 21096808
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms.
    Nakayama R; Uchiyama Y; Watanabe R; Katsuragawa S; Namba K; Doi K
    Med Phys; 2004 Apr; 31(4):789-99. PubMed ID: 15124996
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The use of a priori information in the detection of mammographic microcalcifications to improve their classification.
    Salfity MF; Nishikawa RM; Jiang Y; Papaioannou J
    Med Phys; 2003 May; 30(5):823-31. PubMed ID: 12772990
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.