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Fuzzy Sugeno integral interpretation with application in histopathology image analysis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this article, we present the specification of a histopathology image retrieval system, based on Sugeno fuzzy integral, applied to the breast cancer diagnosis. The system proposed can be used as a medical decision support tool. The decision problem under consideration is related to the problem of recognition of histopathology images with respect to the degree of HER2/neu receptor overexpression. The proposed solution is based on Sugeno fuzzy integral with well-defined interpretation of the problem. Experiments showed usefulness of our approach.
Czasopismo
Rocznik
Strony
71--82
Opis fizyczny
Bibliogr. 17 poz., tab., rys.
Twórcy
autor
autor
Bibliografia
  • [1] Avoni M., Image analysis methods for determining HER2neu Status of breast cancers, BME MSc, DTU - Technical University of Denmark, Copenhagen, Denmark, in collaboration with Visiopharm A/S, Horsholm, MATLAB User Conference, Denmark, 2008.
  • [2] Cobleigh M.A., Vogel C.L., Tripathy D., Robert N.J., Scholl S., Fehrenbacher L., Wolter J.M., Paton V., Shak S., Lieberman G., Slamon D.J., Multinational study of the efficacy and safety of humanized anti-her2 monoclonal antibody in women who have her2-overexpressing metastatic breast cancer that has progressed after chemotherapy for metastatic disease, Journal of Clinical Oncology, 19, 1999, 2639-2648.
  • [3] Dong X., Keller M.J., Popescu M., Bondugula R., Applications of fuzzy logic in bioinformatics, Advances in Bioinformatics and Computational Biology, 9, 2008.
  • [4] Doyle S., Agner Sh., Madabhushi A., Feldman M., Tomaszewski J., Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features, IEEE International Symposium on Biomedical Imaging, Paris, France, 2008.
  • [5] Gurcan N.M., Laura E., Boucheron A.C., Madabhushi A., Rajpoot N.M., Bulent Y., Histopathological Image Analysis -A Review, IEEE Reviews in Biomedical Engineering, Vol. 2, 2009.
  • [6] Joshi A.S., Sharangpani G.M., Porter K., Keyhani S., Morrison C, Basu A.S., Gholap G.A., Gholap A.S., Barsky S.H., Semi-Automated Imaging System to Quantitate Her2/neu Membrane Receptor Immunoreactivity in Human Breast Cancer, Cytometry A, 71(5), 2007, 273 -285.
  • [7] Kerre, E.E., Nachtegael M., Fuzzy Techniques in Image Processing, Heidelberg, New York, Physica Verlag, 2000.
  • [8] Kuo Y.-L., Ko Ch.-Ch., Lai J.-Y., Automated Assessment in HER-2/neu Immunohistochemical Expression of Breast Cancer, International Symposium on Computer, Communication, Control and Automation, 3CA 2010, 585-588.
  • [9] Li J., Chi Z., Chen G., Image Retrieval Based on Sugeno Fuzzy Integral, Proceedings of the Third International Conference on Image and Graphics (ICIG'04), Hong Kong, 2004.
  • [10] Masmoudi H., Hewitt S.M., Petrick N., Myers K.J., Gavrielides M.A., Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer, IEEE Transactions on Medical Imaging, Vol. 28, No. 6, 2009,916-925.
  • [11] Mass R.D., Press M.F., Anderson S., Cobleigh M.A., C.L., Dybdal N., Slamon D.J., Leiberman G., Evaluation of clinical outcomes according to HER2 detection by fluorescence in situ hybridization in women with metastatic breast cancer treated with trastuzumab, Clinical Breast Cancer, 6, 2005, 240-246.
  • [12] Osin P.P., Lakhani S.R., The pathology of familial breast cancer. lmmunohistochemistry and Molecular analysis, Breast Cancer Research, Vol. 1(1), 1999,36-40.
  • [13] Otsu N., A threshold selection method from gray-level histograms, IEEE Trans. Sys., Man., Cyber. 9 (1), 1979, 62-66
  • [14] Rexhepaj E„ Brennan J.D., Holloway P., Kay W.E., McCann H.A., Landberg G., MDuffy J.M., Jirstrom K, Gallagher M.W., Novel image analysis approach for quantifying expression of nuclear proteins assessed by immunohisochemistry- application to measurement of oestrogen and progesterone receptor levels in breast cancer, Breast Research, 10, 2008.
  • [15] Skaland I., Ovestad I., Janssen M.A.E., Klos J., Kjellevold H. K., Helliesen T., Baak A.P.J., Pathol C.J., Comparing subjective and digital image analysis HER2neu expression scores with conventional and modified FISH scores in breast cancer, Journal of Clinical Pathology, Vol. 61, Issue 1, 2008.
  • [16] Sugeno M., Fuzzy measures and fuzzy integrals - A survey North-Holland, Amsterdam, 1977, 89-102.
  • [17] Zadeh L., Fuzzy sets, Information and Control, 8(3), 1965, 338-353.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW8-0027-0006
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