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Volumn 30, Issue 4, 2008, Pages 218-225

Cascade pattern recognition structure for improving quantitative assessment of estrogen receptor status in breast tissue carcinomas

Author keywords

Estrogen receptors; Histopathology; Image analysis; Pattern recognition

Indexed keywords

ESTROGEN RECEPTOR;

EID: 49649118287     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (28)
  • 1
    • 0038394851 scopus 로고    scopus 로고
    • Stewart BW, Kleihues P editors, Lyon, France, IARC Press
    • Stewart BW, Kleihues P (editors): World Cancer Report. Lyon, France, IARC Press, 2003
    • (2003) World Cancer Report
  • 2
    • 17844366669 scopus 로고    scopus 로고
    • Estrogen receptor analysis for breast cancer: Current issues and keys to increasing testing accuracy
    • Diaz LK, Sneige N: Estrogen receptor analysis for breast cancer: Current issues and keys to increasing testing accuracy. Adv Anat Pathol 2005;12:10-19
    • (2005) Adv Anat Pathol , vol.12 , pp. 10-19
    • Diaz, L.K.1    Sneige, N.2
  • 4
    • 0036349825 scopus 로고    scopus 로고
    • The prognostic significance of the semiquantitatively determined estrogen receptor content of breast carcinomas: A clinicopathological study
    • Bejar J, Sabo E, Eldar S, Lev M, Misselevich I, Boss JH: The prognostic significance of the semiquantitatively determined estrogen receptor content of breast carcinomas: A clinicopathological study. Pathol Res Pract 2002;198:455-460
    • (2002) Pathol Res Pract , vol.198 , pp. 455-460
    • Bejar, J.1    Sabo, E.2    Eldar, S.3    Lev, M.4    Misselevich, I.5    Boss, J.H.6
  • 5
    • 1042301335 scopus 로고    scopus 로고
    • Interobserver agreement for estrogen receptor immunohistochemical analysis in breast cancer: A comparison of manual and computer-assisted scoring methods
    • Diaz LK, Sahin A, Sneige N: Interobserver agreement for estrogen receptor immunohistochemical analysis in breast cancer: A comparison of manual and computer-assisted scoring methods. Ann Diagn Pathol 2004;8:23-27
    • (2004) Ann Diagn Pathol , vol.8 , pp. 23-27
    • Diaz, L.K.1    Sahin, A.2    Sneige, N.3
  • 8
    • 0032799818 scopus 로고    scopus 로고
    • Modified true-color computer-assisted image analysis versus subjective scoring of estrogen receptor expression in breast cancer: A comparison
    • Kohlberger PD, Breitenecker F, Kaider A, Lösch A, Gitsch G, Breitenecker G, Kieback DG: Modified true-color computer-assisted image analysis versus subjective scoring of estrogen receptor expression in breast cancer: A comparison. Anticancer Res 1999;19:2189-2193
    • (1999) Anticancer Res , vol.19 , pp. 2189-2193
    • Kohlberger, P.D.1    Breitenecker, F.2    Kaider, A.3    Lösch, A.4    Gitsch, G.5    Breitenecker, G.6    Kieback, D.G.7
  • 9
    • 0031914689 scopus 로고    scopus 로고
    • Comparative study of computer-assisted image analysis and light-microscopically determined estrogen receptor status of breast carcinomas
    • Bejar J, Sabo E, Misselevich I, Eldar S, Boss JH: Comparative study of computer-assisted image analysis and light-microscopically determined estrogen receptor status of breast carcinomas. Arch Pathol Lab Med 1998;122:346-352
    • (1998) Arch Pathol Lab Med , vol.122 , pp. 346-352
    • Bejar, J.1    Sabo, E.2    Misselevich, I.3    Eldar, S.4    Boss, J.H.5
  • 10
    • 0030690307 scopus 로고    scopus 로고
    • Application of photoshop-based image analysis to quantification of hormone receptor expression in breast cancer
    • Lehr HA, Mankoff DA, Corwin D, Santeusanio G, Gown AM: Application of photoshop-based image analysis to quantification of hormone receptor expression in breast cancer. J Histochem Cytochem 1997;45:1559-1565
    • (1997) J Histochem Cytochem , vol.45 , pp. 1559-1565
    • Lehr, H.A.1    Mankoff, D.A.2    Corwin, D.3    Santeusanio, G.4    Gown, A.M.5
  • 12
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht DF: Probabilistic neural networks. Neural Networks 1990;3:109-118
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 13
    • 0033874943 scopus 로고    scopus 로고
    • Immunohistochemical detection of steroid receptors in breast cancer: A working protocol. UK Receptor Group, UK NEQAS, The Scottish Breast Cancer Pathology Group, and The Receptor and Biomarker Study Group of the EORTC
    • Leake R, Barnes D, Pinder S, Ellis I, Anderson L, Anderson T, Adamson R, Rhodes T, Miller K, Walker R: Immunohistochemical detection of steroid receptors in breast cancer: A working protocol. UK Receptor Group, UK NEQAS, The Scottish Breast Cancer Pathology Group, and The Receptor and Biomarker Study Group of the EORTC. J Clin Pathol 2000;53:634-635
    • (2000) J Clin Pathol , vol.53 , pp. 634-635
    • Leake, R.1    Barnes, D.2    Pinder, S.3    Ellis, I.4    Anderson, L.5    Anderson, T.6    Adamson, R.7    Rhodes, T.8    Miller, K.9    Walker, R.10
  • 14
    • 49649117625 scopus 로고    scopus 로고
    • CIE Technical Report, Colorimetry, Publ. CIE 15.2-1986, CIE Central Bureau, Vienna, Austria
    • CIE Technical Report, Colorimetry, Publ. CIE 15.2-1986, CIE Central Bureau, Vienna, Austria
  • 15
    • 0037233258 scopus 로고    scopus 로고
    • Histogram ratio features for color texture classification
    • Paschos G, Petrou M: Histogram ratio features for color texture classification. Pattern Recognition Letters 2003;24:309-314
    • (2003) Pattern Recognition Letters , vol.24 , pp. 309-314
    • Paschos, G.1    Petrou, M.2
  • 18
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • Ambroise C, McLachlan GJ: Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci U S A 2002;99:6562-6566
    • (2002) Proc Natl Acad Sci U S A , vol.99 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 22
    • 33748269365 scopus 로고    scopus 로고
    • Quantification of immunohistochemistry: Issues concerning methods, utility and semi-quantitative assessment: II
    • Taylor CR, Levenson RM: Quantification of immunohistochemistry: Issues concerning methods, utility and semi-quantitative assessment: II. Histopathology 2006;49:411-424
    • (2006) Histopathology , vol.49 , pp. 411-424
    • Taylor, C.R.1    Levenson, R.M.2
  • 24
    • 1942534994 scopus 로고    scopus 로고
    • Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure
    • Glotsos D, Spyridonos P, Petalas P, Cavouras D, Ravazoula P, Dadioti PA, Lekka I, Nikiforidis G: Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure. Anal Quant Cytol Histol 2004;26:77-83
    • (2004) Anal Quant Cytol Histol , vol.26 , pp. 77-83
    • Glotsos, D.1    Spyridonos, P.2    Petalas, P.3    Cavouras, D.4    Ravazoula, P.5    Dadioti, P.A.6    Lekka, I.7    Nikiforidis, G.8
  • 25
    • 0346099401 scopus 로고    scopus 로고
    • Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy
    • Latson L, Sebek B, Powell KA: Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy. Anal Quant Cytol Histol 2003;25:321-331
    • (2003) Anal Quant Cytol Histol , vol.25 , pp. 321-331
    • Latson, L.1    Sebek, B.2    Powell, K.A.3
  • 26
    • 1842831550 scopus 로고    scopus 로고
    • Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma
    • Spyridonos P, Cavouras D, Ravazoula P, Nikiforidis G: Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma. Anal Quant Cytol Histol 2002;24:317-324
    • (2002) Anal Quant Cytol Histol , vol.24 , pp. 317-324
    • Spyridonos, P.1    Cavouras, D.2    Ravazoula, P.3    Nikiforidis, G.4
  • 28
    • 33747797369 scopus 로고    scopus 로고
    • A hierarchical approach to color image segmentation using homogeneity
    • Cheng H-D, Sun Y: A hierarchical approach to color image segmentation using homogeneity. IEEE Trans Image Process 2000;9:2071-2082
    • (2000) IEEE Trans Image Process , vol.9 , pp. 2071-2082
    • Cheng, H.-D.1    Sun, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.