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Volumn 31, Issue 1, 2009, Pages 49-62

Comparative analysis of methods for accurate recognition of cells through nuclei staining of Ki-67 in neuroblastoma and estrogen/progesterone status staining in breast cancer

Author keywords

Breast; Cancer; Er pr status; Ki 67; Neuroblastoma; Nuclei; Staining; Support vector machine

Indexed keywords

ESTROGEN; KI 67 ANTIGEN; PROGESTERONE;

EID: 61849162858     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (30)

References (27)
  • 1
    • 0029834347 scopus 로고    scopus 로고
    • Automated reasoning system in histopathologic diagnosis and prognosis of prostate cancer and its precursors
    • Bartels PH, Thompson D, Montironi R, Mariuzzi G, Hamilton PW: Automated reasoning system in histopathologic diagnosis and prognosis of prostate cancer and its precursors. Eur Urol 1996;30:222-233
    • (1996) Eur Urol , vol.30 , pp. 222-233
    • Bartels, P.H.1    Thompson, D.2    Montironi, R.3    Mariuzzi, G.4    Hamilton, P.W.5
  • 3
    • 0036368947 scopus 로고    scopus 로고
    • Image processing, diagnostic information extraction and quantitative assessment in pathology
    • Santinelli A, Mazzucchelli R, Colanzi P, Tinea A, Montironi R: Image processing, diagnostic information extraction and quantitative assessment in pathology. J Cell Mol Med 2002; 6:93-106
    • (2002) J Cell Mol Med , vol.6 , pp. 93-106
    • Santinelli, A.1    Mazzucchelli, R.2    Colanzi, P.3    Tinea, A.4    Montironi, R.5
  • 5
    • 33644677322 scopus 로고    scopus 로고
    • Theory and implementation of an electronic, automated measurement system for images obtained from immunohis-tochemically stained slides
    • Kayser G, Radziszowski D, Bzdyl P, Sommer R, Kayser K: Theory and implementation of an electronic, automated measurement system for images obtained from immunohis-tochemically stained slides. Anal Quant Cytol Histol 2006; 28:27-38
    • (2006) Anal Quant Cytol Histol , vol.28 , pp. 27-38
    • Kayser, G.1    Radziszowski, D.2    Bzdyl, P.3    Sommer, R.4    Kayser, K.5
  • 6
    • 33750331574 scopus 로고    scopus 로고
    • Image processing for accurate recognition and counting of cells of the histological slides
    • Markiewicz T, Osowski S, Patera J, Kozlowski W: Image processing for accurate recognition and counting of cells of the histological slides. Anal Quant Cytol Histol 2006;26:281-291
    • (2006) Anal Quant Cytol Histol , vol.26 , pp. 281-291
    • Markiewicz, T.1    Osowski, S.2    Patera, J.3    Kozlowski, W.4
  • 7
    • 59649087801 scopus 로고    scopus 로고
    • Osowski S, Markiewicz T: Support vector machine for recognition of white blood cells of leukaemia. In Kernel Methods in Bioengineering, Signal and Image Processing. Edited by G Camps-Vails, ]L Rojo-Alvarez, M Martinez-Ramon. Hershey, PA, IGI Publishing, 2007, pp 93-122
    • Osowski S, Markiewicz T: Support vector machine for recognition of white blood cells of leukaemia. In Kernel Methods in Bioengineering, Signal and Image Processing. Edited by G Camps-Vails, ]L Rojo-Alvarez, M Martinez-Ramon. Hershey, PA, IGI Publishing, 2007, pp 93-122
  • 10
    • 0017600184 scopus 로고
    • Fundamental study of cyto-screening for uterine cancer: New system for automated apparatus (CYBEST) utilizing pattern recognition method
    • Tanaka N, Ikeda H, Ueno T, Mukawa A, Watanabe S, Okamoto K, Hosoi S, Tsunekawa S: Fundamental study of cyto-screening for uterine cancer: New system for automated apparatus (CYBEST) utilizing pattern recognition method. Acta Cytol 1977;21:72-85
    • (1977) Acta Cytol , vol.21 , pp. 72-85
    • Tanaka, N.1    Ikeda, H.2    Ueno, T.3    Mukawa, A.4    Watanabe, S.5    Okamoto, K.6    Hosoi, S.7    Tsunekawa, S.8
  • 14
    • 0021226066 scopus 로고    scopus 로고
    • Shimada H, Chatten J, Newton WA ]r, Sachs N, Hamoudi AB, Chiba T, Marsden HB, Misugi K: Histopathologic prognostic factors in neuroblastic tumors: Definition of subtypes of ganglioneuroblastoma and age-linked classification of neuroblastomas. J Natl Cancer Inst 1984;73:405-416
    • Shimada H, Chatten J, Newton WA ]r, Sachs N, Hamoudi AB, Chiba T, Marsden HB, Misugi K: Histopathologic prognostic factors in neuroblastic tumors: Definition of subtypes of ganglioneuroblastoma and age-linked classification of neuroblastomas. J Natl Cancer Inst 1984;73:405-416
  • 16
    • 0031915998 scopus 로고    scopus 로고
    • Allred DC, Harvey ]M, Berardo M, Clark GM: Prognosis and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol 1998;11:155-168
    • Allred DC, Harvey ]M, Berardo M, Clark GM: Prognosis and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol 1998;11:155-168
  • 17
    • 61849094287 scopus 로고    scopus 로고
    • Dako ER/PR pharmDx TM Interpretation manual. Glostrup, Denmark, DakoCytomation, 2007
    • Dako ER/PR pharmDx TM Interpretation manual. Glostrup, Denmark, DakoCytomation, 2007
  • 18
    • 0002973612 scopus 로고    scopus 로고
    • Estrogen and progesterone receptors
    • Edited by JR Harris, ME Lipp-man, M Morrow, CK Osborne. Philadelphia, Lippincott Williams & Wilkins
    • Elledge RM, Fuqua SAW: Estrogen and progesterone receptors. In Diseases of the Breast. Edited by JR Harris, ME Lipp-man, M Morrow, CK Osborne. Philadelphia, Lippincott Williams & Wilkins, 2000, pp 471-488
    • (2000) Diseases of the Breast , pp. 471-488
    • Elledge, R.M.1    Fuqua, S.A.W.2
  • 22
    • 0003977901 scopus 로고    scopus 로고
    • Matlab Image Processing Toolbox, Natick, MA, MathWorks
    • Matlab Image Processing Toolbox, User's Guide. Natick, MA, MathWorks, 2002
    • (2002) User's Guide
  • 25
    • 0036505670 scopus 로고    scopus 로고
    • A comparison methods for multiclass support vector machines
    • Hsu CW, Lin CJ: A comparison methods for multiclass support vector machines. IEEE Trans Neural Netw 2002;13:415-425
    • (2002) IEEE Trans Neural Netw , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 26
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of SVM using sequential optimization
    • Edited by B Schölkopf, C Burges, A Smola. Cambridge, MA, MIT Press
    • Piatt J: Fast training of SVM using sequential optimization. In Advances in Kernel Methods: Support Vector Learning. Edited by B Schölkopf, C Burges, A Smola. Cambridge, MA, MIT Press, 1998, pp 185-208
    • (1998) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
    • Piatt, J.1
  • 27
    • 0018306059 scopus 로고
    • A threshold selection method from grey-level histograms
    • Otsu N: A threshold selection method from grey-level histograms. IEEE Trans Syst Man Cybern B Cybern 1979;9:62-66
    • (1979) IEEE Trans Syst Man Cybern B Cybern , vol.9 , pp. 62-66
    • Otsu, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.