BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 23060416)

  • 1. A texture analysis method for detection of clustered microcalcifications on digital mammograms.
    Barretto MC; Kulkarni DA; Udupi GR
    Int J Bioinform Res Appl; 2012; 8(5-6):366-81. PubMed ID: 23060416
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Statistical textural features for detection of microcalcifications in digitized mammograms.
    Kim JK; Park HW
    IEEE Trans Med Imaging; 1999 Mar; 18(3):231-8. PubMed ID: 10363701
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network.
    Chan HP; Lo SC; Sahiner B; Lam KL; Helvie MA
    Med Phys; 1995 Oct; 22(10):1555-67. PubMed ID: 8551980
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Classification of microcalcifications in radiographs of pathologic specimens for the diagnosis of breast cancer.
    Wu YC; Freedman MT; Hasegawa A; Zuurbier RA; Lo SC; Mun SK
    Acad Radiol; 1995 Mar; 2(3):199-204. PubMed ID: 9419548
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A method for detecting microcalcifications in digital mammograms.
    Wallet BC; Solka JL; Priebe CE
    J Digit Imaging; 1997 Aug; 10(3 Suppl 1):136-9. PubMed ID: 9268859
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network.
    Chan HP; Sahiner B; Petrick N; Helvie MA; Lam KL; Adler DD; Goodsitt MM
    Phys Med Biol; 1997 Mar; 42(3):549-67. PubMed ID: 9080535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast cancer diagnosis: analyzing texture of tissue surrounding microcalcifications.
    Karahaliou AN; Boniatis IS; Skiadopoulos SG; Sakellaropoulos FN; Arikidis NS; Likaki EA; Panayiotakis GS; Costaridou LI
    IEEE Trans Inf Technol Biomed; 2008 Nov; 12(6):731-8. PubMed ID: 19000952
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis.
    Karahaliou A; Skiadopoulos S; Boniatis I; Sakellaropoulos P; Likaki E; Panayiotakis G; Costaridou L
    Br J Radiol; 2007 Aug; 80(956):648-56. PubMed ID: 17621604
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Scale-space signatures for the detection of clustered microcalculations in digital mammograms.
    Netsch T; Peitgen HO
    IEEE Trans Med Imaging; 1999 Sep; 18(9):774-86. PubMed ID: 10571382
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Malignant and benign clustered microcalcifications: automated feature analysis and classification.
    Jiang Y; Nishikawa RM; Wolverton DE; Metz CE; Giger ML; Schmidt RA; Vyborny CJ; Doi K
    Radiology; 1996 Mar; 198(3):671-8. PubMed ID: 8628853
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Breast microcalcifications detection based on fusing features with DTCWT.
    Wang Z; Xin J; Zhang Q; Gao S; Ma C; Ren J; Zhang H; Qian W; Zhu W; Zhang X; Liu J
    J Xray Sci Technol; 2020; 28(2):197-218. PubMed ID: 31985483
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.