Abstract
In this paper, a possibility of developing a new criterion for diagnostics of hematopoietic tumors, such as chronic B-cell lymphatic leukemia, transformation of chronic B-cell lymphatic leukemia into lymphosarcoma, and primary B-cell lymphosarcoma, from images of cell nuclei of lymphatic nodes is considered. A method for image analysis of lymphatic node specimens is developed on the basis of the scale space approach. A diagnostically important criterion is defined as a total amount of points of spatial intensity extrema in the families of blurred images generated by the given image of a cell nucleus. The procedure for calculating criterion values is presented.
This work was partly supported by the Russian Foundation for Basic Research (grants NN 01-07-90016, 01-07-90017, 03-07-90406).
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Florack, L.M.J., Kuijper, A.: The topological structure of scale-space images. Journal of Mathematical Imaging and Vision 12(1), 65–80 (2000)
Gurevich, I.B., Khilkov, A.V., Murashov, D.M., Smetanin, Y.G., Zhuravlev, Y.I.: Black Square Version 1.0: Programm Development System for Automation of Scientific Research and Education. Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications 9(4), 609–634 (1999)
Koenderink, J.J.: The structure of images. Biol. Cybern. 50, 363–370 (1984)
Lindeberg, T.: Scale-space Theory in Computer Vision. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Dordrecht (1994)
Vorob’ev, A.I. (ed.): Atlas Tumors of lymphatic system. Hematological Scientific Center of the Russian Academy of Medical Sciences (2001)
Vorob’ev, A.I., Vorob’ev, I.A., Kharazishvili, D.V., et al.: Recognition of lymphatic tumours of a mediastinum. Problems of a tuberculosis 2, 21–25 (2001)
Kharazishvili, D.V.: Morphometrical analysis of intracellular neoplasms of lymphatic system. Hematological Scientific Center of the Russian Academy of Medical Sciences, Ph.D. thesis (2001)
Weyn, B., Van de Wouwer, G., Koprowski, M., Van Daele, A., Dhaene, K., Scheunders, P., Jacob, W., Van Marck, E.: Value of morphometry, texture analysis, densitometry and histometry in the differential diagnosis and prognosis of malignant mesothelioma. Journal of Pathology 189, 581–589 (1999)
Rodenacker, K., Bengtsen, E.: A feature set for cytometry on digitized microscopic images. Anal Cell Pathol 25(1), 1–36 (2003)
Rodenacker, K.: Applications of topology for evaluating pictorial structures. In: Klette, R., Kropatsch, W.G. (eds.) Theoretical Foundations of Computer Vision, pp. 35–46. Akademie-Verlag, Berlin (1993)
Rodenacker, K.: Quantitative microscope image analysis for improved diagnosis and prognosis of tumours in pathology. Creaso Info Medical Imaging 22 (1995)
Young, I.T., Verbeek, P., Mayall, B.H.: Characterization of chromatin distribution in cell nuclei. Cytometry 7(5), 467–474 (1986)
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Gurevich, I., Khilkov, A., Murashov, D. (2003). A Technique for Extraction of Diagnostic Data from Cytological Specimens. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_33
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DOI: https://doi.org/10.1007/978-3-540-24586-5_33
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