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Journal Abstract Search

96 related items for PubMed ID: 2008882

  • 1. Nuclear grading of breast carcinoma by image analysis. Classification by multivariate and neural network analysis.
    Dawson AE, Austin RE, Weinberg DS.
    Am J Clin Pathol; 1991 Apr; 95(4 Suppl 1):S29-37. PubMed ID: 2008882
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  • 2. Computer-aided classification of breast cancer nuclei.
    Schnorrenberg F, Pattichis CS, Schizas CN, Kyriacou K, Vassiliou M.
    Technol Health Care; 1996 Aug; 4(2):147-61. PubMed ID: 8885093
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  • 3. Histologic grading of invasive lobular carcinoma: does use of a 2-tiered nuclear grading system improve interobserver variability?
    Adams AL, Chhieng DC, Bell WC, Winokur T, Hameed O.
    Ann Diagn Pathol; 2009 Aug; 13(4):223-5. PubMed ID: 19608079
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  • 4. Image analysis and diagnostic classification of hepatocellular carcinoma using neural networks and multivariate discriminant functions.
    Erler BS, Hsu L, Truong HM, Petrovic LM, Kim SS, Huh MH, Ferrell LD, Thung SN, Geller SA, Marchevsky AM.
    Lab Invest; 1994 Sep; 71(3):446-51. PubMed ID: 7933994
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  • 5. New method of nuclear grading of tissue sections by means of digital image analysis with prognostic significance for node-negative breast cancer patients.
    Albert R, Müller JG, Kristen P, Schindewolf T, Kneitz S, Harms H.
    Cytometry; 1996 Jun 01; 24(2):140-50. PubMed ID: 8725663
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  • 6. Distribution of nuclear size and internuclear distance are important criteria for grading astrocytomas.
    Nafe R, Van de Nes J, Yan B, Schlote W.
    Clin Neuropathol; 2006 Jun 01; 25(1):48-56. PubMed ID: 16465775
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  • 7. Relationships between image cytometric DNA index, proliferation fraction and multiploidy and conventional nuclear grade in breast carcinoma.
    Smith FB, Zappi ME.
    Mod Pathol; 1993 Sep 01; 6(5):606-11. PubMed ID: 7504261
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  • 8. Quantitative nuclear morphometry by image analysis for prediction of recurrence of ductal carcinoma in situ of the breast.
    Hoque A, Lippman SM, Boiko IV, Atkinson EN, Sneige N, Sahin A, Weber DM, Risin S, Lagios MD, Schwarting R, Colburn WJ, Dhingra K, Follen M, Kelloff GJ, Boone CW, Hittelman WN.
    Cancer Epidemiol Biomarkers Prev; 2001 Mar 01; 10(3):249-59. PubMed ID: 11303595
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  • 9. Role of nuclear grading of breast carcinomas in fine needle aspiration specimens.
    Dabbs DJ.
    Acta Cytol; 1993 Mar 01; 37(3):361-6. PubMed ID: 8498137
    [Abstract] [Full Text] [Related]

  • 10. Prognostic significance and interobserver variability of histologic grading systems for endometrial carcinoma.
    Scholten AN, Smit VT, Beerman H, van Putten WL, Creutzberg CL.
    Cancer; 2004 Feb 15; 100(4):764-72. PubMed ID: 14770433
    [Abstract] [Full Text] [Related]

  • 11. Toward the development of a universal grading system for ovarian epithelial carcinoma. I. Prognostic significance of histopathologic features--problems involved in the architectural grading system.
    Shimizu Y, Kamoi S, Amada S, Hasumi K, Akiyama F, Silverberg SG.
    Gynecol Oncol; 1998 Jul 15; 70(1):2-12. PubMed ID: 9698465
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  • 15. Grading of transitional cell bladder carcinoma by image analysis of histological sections.
    Jarkrans T, Vasko J, Bengtsson E, Choi HK, Malmström PU, Wester K, Busch C.
    Anal Cell Pathol; 1995 Mar 15; 8(2):135-58. PubMed ID: 7786812
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  • 18. Digitized pathology: theory and experiences in automated tissue-based virtual diagnosis.
    Kayser K, Radziszowski D, Bzdyl P, Sommer R, Kayser G.
    Rom J Morphol Embryol; 2006 Mar 15; 47(1):21-8. PubMed ID: 16838053
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