BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

307 related articles for article (PubMed ID: 10659733)

  • 1. Segmentation of suspicious clustered microcalcifications in mammograms.
    Gavrielides MA; Lo JY; Vargas-Voracek R; Floyd CE
    Med Phys; 2000 Jan; 27(1):13-22. PubMed ID: 10659733
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms.
    Gavrielides MA; Lo JY; Floyd CE
    Med Phys; 2002 Apr; 29(4):475-83. PubMed ID: 11998828
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms.
    Zhang W; Doi K; Giger ML; Nishikawa RM; Schmidt RA
    Med Phys; 1996 Apr; 23(4):595-601. PubMed ID: 8860907
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network.
    Zhang W; Doi K; Giger ML; Wu Y; Nishikawa RM; Schmidt RA
    Med Phys; 1994 Apr; 21(4):517-24. PubMed ID: 8058017
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-aided detection of clustered microcalcifications: an improved method for grouping detected signals.
    Nishikawa RM; Giger ML; Doi K; Vyborny CJ; Schmidt RA
    Med Phys; 1993; 20(6):1661-6. PubMed ID: 8309438
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms.
    Anastasio MA; Yoshida H; Nagel R; Nishikawa RM; Doi K
    Med Phys; 1998 Sep; 25(9):1613-20. PubMed ID: 9775365
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Real and simulated clustered microcalcifications in digital mammograms. ROC study of observer performance.
    Lado MJ; Tahoces PG; Souto M; Méndez AJ; Vidal JJ
    Med Phys; 1997 Sep; 24(9):1385-94. PubMed ID: 9304566
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films.
    Yu S; Guan L
    IEEE Trans Med Imaging; 2000 Feb; 19(2):115-26. PubMed ID: 10784283
    [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. 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]  

  • 12. Detection of microcalcification clusters using Hessian matrix and foveal segmentation method on multiscale analysis in digital mammograms.
    Thangaraju B; Vennila I; Chinnasamy G
    J Digit Imaging; 2012 Oct; 25(5):607-19. PubMed ID: 22581343
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dependence of computer classification of clustered microcalcifications on the correct detection of microcalcifications.
    Jiang Y; Nishikawa RM; Papaioannou J
    Med Phys; 2001 Sep; 28(9):1949-57. PubMed ID: 11585226
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Computer-aided detection of clustered microcalcifications on digital mammograms.
    Nishikawa RM; Giger ML; Doi K; Vyborny CJ; Schmidt RA
    Med Biol Eng Comput; 1995 Mar; 33(2):174-8. PubMed ID: 7643656
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms.
    Nagel RH; Nishikawa RM; Papaioannou J; Doi K
    Med Phys; 1998 Aug; 25(8):1502-6. PubMed ID: 9725141
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Contrast enhancement in dense breast images to aid clustered microcalcifications detection.
    Nunes FL; Schiabel H; Goes CE
    J Digit Imaging; 2007 Mar; 20(1):53-66. PubMed ID: 16820957
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computerized segmentation method for individual calcifications within clustered microcalcifications while maintaining their shapes on magnification mammograms.
    Hizukuri A; Nakayama R; Nakako N; Kawanaka H; Takase H; Yamamoto K; Tsuruoka S
    J Digit Imaging; 2012 Jun; 25(3):377-86. PubMed ID: 21989574
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms.
    Zhang W; Yoshida H; Nishikawa RM; Doi K
    Med Phys; 1998 Jun; 25(6):949-56. PubMed ID: 9650185
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.