An Approach for Statistical Data Extraction from Photo Images of Pathological Biopsy Objects
Abstract
Keywords: |
Aortic valve, pattern recognition, segmentation, statistical data.
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References
K. Akat, M. Borggrefe, J. J. Kaden, “Aortic valve calcification: basic science to clinical practice,” Heart, Vol. 95, no. 8, pp. 616–623, April, 2009. http://dx.doi.org/10.1136/hrt.2007.134783
J. D. Miller, R. M. Weiss, D. D. Heistad, “Calcific Aortic Valve Stenosis: Methods, Models, and Mechanisms,” Circ. Res. Vol. 108, no. 11, pp. 1392–1412, May, 2011. http://dx.doi.org/10.1161/CIRCRESAHA.110.234138
M. Misfeld, H.-H. Sievers, “Heart valve macro- and microstructure,” Philosophical Transactions of the Royal Society B: Biological Sciences Vol. 362, no. 1484, pp. 1421–1436, Aug., 2007. http://dx.doi.org/10.1098/rstb.2007.2125
A. Vahanian, O. Alfieri, F. Andreotti, M. J. Antunes et al. “Guidelines on the management of valvular heart disease: The Joint Task Force on the Management of Valvular Heart Disease of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS),” European Heart Journal, vol. 33, pp. 2451–2496, Aug., 2012. http://dx.doi.org/10.1093/eurheartj/ehs109
E. Fix, J. L. Hodges, Jr., Discriminatory analysis, nonparametric discrimination: Consistency properties, International Statistical Review, vol. 57 no. 3, pp. 238–247, Dec., 1989. Reprint of original work from 1951. http://dx.doi.org/10.2307/1403797
E. Fix, J. L. Hodges, Jr., Discriminatory analysis – nonparametric discrimination: small sample performance. Agrawala, A. K., Ed: Machine Recognition of Patterns, New York: IEEE press, pp. 280–322, 1977. Reprint of original work from 1952.
R. O. Duda, P. E. Hart, D. G. Stork, in Pattern Classification, 2nd Edition, Wiley-Interscience, 2000, 680 p.
N. J. Nilsson, in The Mathematical Foundations of Learning Machines, San Francisco: Morgan Kaufmann Pub, 1990, 138 p.
E. A. Patrick, in Fundamentals of pattern recognition, 1st ed. Prentice-Hall, 1972, 504 p.
T. M. Mitchell, in Machine Learning, McGraw-Hill Science, 1997, 414 p.
R. Starinskis, V. Groma, A. Sisojevs, “Aortas vārstuļa stenozes morfoloģiskā un datorizētā attēlu analīze,” RSU XIX Morfoloģisko zinātņu konferences referātu tezes. – Rīga: Rīgas Stradiņa universitāte, pp. 38–39, 2014.
D. R. Wilson, T. R. Martinez, “Improved Heterogeneous Distance Functions,” Journal of Artificial Intelligence Research, vol. 6, pp. 1–34, 1997. http://dx.doi.org/10.1613/jair.346
R. Euler, J. Sadek, “The πs Go Full Circle,” Mathematics Magazine, vol. 72, no. 1, pp. 59–63, 1999.
R. Jin, S. Wang, Y. Zhou, “Regularized Distance Metric Learning: Theory and Algorithm,” Advances in Neural Information Processing Systems 22, pp. 862–870, 2009.
L. G. Shapiro, G. C. Stockman, in Computer Vision, 1st ed. NJ, USA: Prentice Hall, 2002, 580 p.
W. K. Pratt, “Median filtering,” in Semiannual Rep., Image Proc. Institute, University of Southern California, Sept. 1975, pp. 116–123, 1975.
T. Sun, M. Gabbouj, and Y. Neuvo, “Center Weighted Median Filters: Some Properties and Applications in Image Processing,” Signal Processing Laboratory, vol. 35, no. 3, pp. 213–229, Feb. 1994. http://dx.doi.org/10.1016/0165-1684(94)90212-7
DOI: 10.7250/tcc.2014.001
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