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1995 Clarke L. P., et al., MRI segmentation: methods and application, Magnetic Resonance Imaging, 13(3):343-368.
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1995 Clarke L. P., et al., MRI segmentation: methods and application, Magnetic Resonance Imaging, 13(3):343-368.
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1996 Vandermeulen D., Descombes X., Suetens P., Marchal G., Unsupervised Regularized Classification of Multi-Spectral MRI, Katholieke Universiteit Leuven, Belgium, Tech. Rep. KUL/ESAT/MI2/9608.
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1996 Vandermeulen D., Descombes X., Suetens P., Marchal G., Unsupervised Regularized Classification of Multi-Spectral MRI, Katholieke Universiteit Leuven, Belgium, Tech. Rep. KUL/ESAT/MI2/9608.
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1997 Dickson S., Thomas B., Using neural networks to automatically detect brain tumours in MR images, International Journal of Neural Systems, 4(1):91-99.
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1997 Dickson S., Thomas B., Using neural networks to automatically detect brain tumours in MR images, International Journal of Neural Systems, 4(1):91-99.
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4
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1997 Worth A. J., Makris N., Caviness Jr. V. S., Kennedy D. N., Neuroanatomical Segmentation in MRI: Technological Objectives, International Journal of Pattern Recognition and Artificial Intelligence, 11, No. 8, 1161-1187.
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1997 Worth A. J., Makris N., Caviness Jr. V. S., Kennedy D. N., Neuroanatomical Segmentation in MRI: Technological Objectives, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 11, No. 8, 1161-1187.
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1997 Zhu Y., Yan H., Computerized tumor boundary detection using a Hopfield neural network, IEEE Transactions on Medical Imaging, 16:55-67.
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1997 Zhu Y., Yan H., Computerized tumor boundary detection using a Hopfield neural network, IEEE Transactions on Medical Imaging, 16:55-67.
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6
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1998 Clark M., Hall L., Goldgof D., Velthuizen R., Murtagh F., Silberger M., Automatic tumor segmentation using knowledge-based techniques, IEEE Transactions on Medical Imaging 117, 187-201.
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1998 Clark M., Hall L., Goldgof D., Velthuizen R., Murtagh F., Silberger M., Automatic tumor segmentation using knowledge-based techniques, IEEE Transactions on Medical Imaging 117, 187-201.
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7
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1998 Clark M., Hall L., Goldgof D., Velthuizen R., Murtagh F., Silberger M., Unsupervised Brain Tumor Segmentation Using Knowledge-Based and Fuzzy Techniques, In: Fuzzy and neuro-fuzzy systems in medicine, H. N. Teodorescu, A. Kandel, L. C. Jain, editors, Chapter 5, CRC Press.
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1998 Clark M., Hall L., Goldgof D., Velthuizen R., Murtagh F., Silberger M., Unsupervised Brain Tumor Segmentation Using Knowledge-Based and Fuzzy Techniques, In: Fuzzy and neuro-fuzzy systems in medicine, H. N. Teodorescu, A. Kandel, L. C. Jain, editors, Chapter 5, CRC Press.
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8
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1998 Kaczynski T., Mrozek M., Slusarek M., Homology computation by reduction of chain complexes, Computers and Math. Appl., 35 (4), 59-70.
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1998 Kaczynski T., Mrozek M., Slusarek M., Homology computation by reduction of chain complexes, Computers and Math. Appl., 35 (4), 59-70.
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9
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1999 Niessen W. J., et al., Multiscale segmentation of three dimensional MR brain images, International Journal of Computer Vision, 31, no. 2/3, pp. 185-202.
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1999 Niessen W. J., et al., Multiscale segmentation of three dimensional MR brain images, International Journal of Computer Vision, Vol. 31, no. 2/3, pp. 185-202.
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10
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2000 Allili M., Ziou D., Extraction of topological properties of images via cubical homology, preprint, Georgia Inst. Tech., Atlanta.
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2000 Allili M., Ziou D., Extraction of topological properties of images via cubical homology, preprint, Georgia Inst. Tech., Atlanta.
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11
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2001 Fletcher-Heath L., Hall L., Goldgof D., Murtagh F., Automatic Segmentation of Non-enhancing Brain Tumors in Magnetic Resonance Images, Artificial Intelligence in Medicine 21, 43-63.
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2001 Fletcher-Heath L., Hall L., Goldgof D., Murtagh F., Automatic Segmentation of Non-enhancing Brain Tumors in Magnetic Resonance Images, Artificial Intelligence in Medicine 21, 43-63.
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12
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2001 Tadeusiewicz R., Ogiela M., Structural Methods for X-Ray Image Recognition, ESTRO Teaching Course on Imaging for Target Determination in Radiotherapy. Cracow Conference.
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2001 Tadeusiewicz R., Ogiela M., Structural Methods for X-Ray Image Recognition, ESTRO Teaching Course on Imaging for Target Volume Determination in Radiotherapy. Cracow Conference.
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13
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2002 Lassouaoui N., Hamami L., Brain image segmentation using mathematical morphology, In:. 2nd LASTED International Conference on Visualization Imaging, and Image Processing, VIIP2002, Malaga, Spain, 9-12.
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2002 Lassouaoui N., Hamami L., Brain image segmentation using mathematical morphology, In:. 2nd LASTED International Conference on Visualization Imaging, and Image Processing, VIIP2002, Malaga, Spain, 9-12.
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14
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2002 Moon N., Bullitt E., van Leemput K., Gerig G., Automatic Brain and Tumor Segmentation, MICCAI 2002, LNCS 2489:372-379.
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2002 Moon N., Bullitt E., van Leemput K., Gerig G., Automatic Brain and Tumor Segmentation, MICCAI 2002, LNCS 2489:372-379.
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15
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2002 Niethammer M., Stein A. N., Kalies W. D., Pilarczyk P., Mischaikow K., Tannenbaum A., Analysis of blood vessel topology by cubical homology, Proceedings of the International Conference on Image Processing (2002), 2, 969-972.
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2002 Niethammer M., Stein A. N., Kalies W. D., Pilarczyk P., Mischaikow K., Tannenbaum A., Analysis of blood vessel topology by cubical homology, Proceedings of the International Conference on Image Processing (2002), Vol. 2, 969-972.
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16
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2003 Herlidou-Meme S., Constans J., Carsin B., Olivie D., Eliat P., Nadal-Desbarats L., Gondry C, Rumeur E. L., Idy-Peretti I., de Certaines J., MM texture analysis on texture test objects, normal brain and intracranial tumors, Magnetic Resonance Imaging, 21(9):989-993.
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J., Carsin B., Olivie D., Eliat P., Nadal-Desbarats L., Gondry C, Rumeur E. L., Idy-Peretti I., de Certaines J., MM texture analysis on texture test objects, normal brain and intracranial tumors, Magnetic Resonance Imaging
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17
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2003 Iftekharuddin K. M., Jia W., Marsh R., Fractal analysis of tumor in brain MR images, Machine Vision and Applications, 13, No 5-6, pp. 352-362.
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2003 Iftekharuddin K. M., Jia W., Marsh R., Fractal analysis of tumor in brain MR images, Machine Vision and Applications, Vol. 13, No 5-6, pp. 352-362.
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18
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2003 Mahmoud-Ghoneim D., Toussaint G., Constans J. M., De Certaines J. D., Three dimensional texture analysis in MRI: a preliminary evaluation in gliomas, Magnetic Resonance Imaging, 21, No. 9., pp. 983-987.
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2003 Mahmoud-Ghoneim D., Toussaint G., Constans J. M., De Certaines J. D., Three dimensional texture analysis in MRI: a preliminary evaluation in gliomas, Magnetic Resonance Imaging, Vol. 21, No. 9., pp. 983-987.
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2003 Prastawa M., Bullitt E., Moon N., van Leemput K., Gerig G., Automatic brain tumor segmentation by subject specific modification of atlas priors, Academic Radiology, 10(12):1341-1348.
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2003 Prastawa M., Bullitt E., Moon N., van Leemput K., Gerig G., Automatic brain tumor segmentation by subject specific modification of atlas priors, Academic Radiology, 10(12):1341-1348.
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20
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2003 Sedziwy A., Detecting Pathologies in Magnetic Resonance Images of Brain, Image Processing and Communications, 9, no. 1, pp. 53-62.
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2003 Sedziwy A., Detecting Pathologies in Magnetic Resonance Images of Brain, Image Processing and Communications, Vol. 9, no. 1, pp. 53-62.
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21
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2004 Kaczynski T., Mischaikow K., Mrozek M., Computational Homology, Springer-Verlag, Appl. Math. Sci. Series 157, New York.
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2004 Kaczynski T., Mischaikow K., Mrozek M., Computational Homology, Springer-Verlag, Appl. Math. Sci. Series Vol. 157, New York.
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22
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2004 Prastawa M., Bullitt E., Ho S., Gerig G., A Brain Tumor Segmentation Framework Based on Outlier Detection, Medical Image Analysis, 8(3):275-283.
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2004 Prastawa M., Bullitt E., Ho S., Gerig G., A Brain Tumor Segmentation Framework Based on Outlier Detection, Medical Image Analysis, 8(3):275-283.
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23
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2004 Sedziwy A., Adaptive Algorithm of Detection of Pathological Changes in Brain Image Diagnostics, Automatyka AGH, 8/3, 151-159.
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2004 Sedziwy A., Adaptive Algorithm of Detection of Pathological Changes in Brain Image Diagnostics, Automatyka AGH, 8/3, 151-159.
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24
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2005 Brown R. A., Zlatescu M. C., Cairncross J. G., Mitchel J. R., Texture Analysis for Non-Invasive Identification of Brain Tumor Genotype from MRI, Visualization, Imaging and Image Processing, ACTA Press, 480(116):459-464.
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2005 Brown R. A., Zlatescu M. C., Cairncross J. G., Mitchel J. R., Texture Analysis for Non-Invasive Identification of Brain Tumor Genotype from MRI, Visualization, Imaging and Image Processing, ACTA Press, 480(116):459-464.
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2005 Droske M., Meyer M., Rumpf M., Schaller C, An adaptive level set method for interactive segmentation of intracranial tumors, Neurosurgical Research 27 (4), pp. 363-370.
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2005 Droske M., Meyer M., Rumpf M., Schaller C, An adaptive level set method for interactive segmentation of intracranial tumors, Neurosurgical Research 27 (4), pp. 363-370.
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26
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2005 Glotsos D., Tohka J., Ravazoula P., Cavouras D., Nikiforidis G., Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines, Int. J. Neural Syst. 15(1-2):1-11.
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2005 Glotsos D., Tohka J., Ravazoula P., Cavouras D., Nikiforidis G., Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines, Int. J. Neural Syst. 15(1-2):1-11.
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27
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2005 Mischaikow K., Mrozek M., Pilarczyk P., Graph approach to the computation of the homology of continuous maps, Foundations of Computational Mathematics, 5, 199-229.
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2005 Mischaikow K., Mrozek M., Pilarczyk P., Graph approach to the computation of the homology of continuous maps, Foundations of Computational Mathematics, 5, 199-229.
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2005 Xie K., Yang J., Zhang Z. G., Zhu Y. M., Semi-automated brain tumor and edema segmentation using MRI, European Journal of Radiology, 56:12-19.
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2005 Xie K., Yang J., Zhang Z. G., Zhu Y. M., Semi-automated brain tumor and edema segmentation using MRI, European Journal of Radiology, 56:12-19.
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2005 Zook J. M., Iftekharuddin K. M., Statistical analysis of fractal-based brain tumor detection algorithms, Magn Reson Imaging, 23(5):671-8.
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Zook J. M., Iftekharuddin K. M., Statistical analysis of fractal-based brain tumor detection algorithms, Magn Reson Imaging
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Zelawski M., Pattern Recognition Based on Homology Theory
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2005 Zelawski M., Pattern Recognition Based on Homology Theory, Machine Graphics and Vision, 14(3):309-324.
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2006 Lau Phooi-Yee, Ozawa S., A simple method for detecting tumor in T2-weighted MRI brain images: an image-based analysis, Trans, on Information and Systems - IEICE, E89-D, No. 3, pp. 1270-1279.
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2006 Lau Phooi-Yee, Ozawa S., A simple method for detecting tumor in T2-weighted MRI brain images: an image-based analysis, Trans, on Information and Systems - IEICE, Vol. E89-D, No. 3, pp. 1270-1279.
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2007 Georgiadis P., Cavouras D., Kalatzis I., Daskalakis A., Kagadis G., Sifaki K., Malamas M., Nikiforidis G., Solomou E., Non-linear Least Squares Features Transformation for Improving the Performance of Probabilistic Neural Networks in Classifying Human Brain Tumors on MRI, ICCSA (3), 239-247.
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2007 Georgiadis P., Cavouras D., Kalatzis I., Daskalakis A., Kagadis G., Sifaki K., Malamas M., Nikiforidis G., Solomou E., Non-linear Least Squares Features Transformation for Improving the Performance of Probabilistic Neural Networks in Classifying Human Brain Tumors on MRI, ICCSA (3), 239-247.
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2008 Georgiadis P., Cavouras D., Kalatzis I., Daskalakis A., Kagadis G., Sifaki K., Malamas M., Nikiforidis G., Solomou E., Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features, Comput Methods Programs Biomed., 89(1):24-32.
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2008 Georgiadis P., Cavouras D., Kalatzis I., Daskalakis A., Kagadis G., Sifaki K., Malamas M., Nikiforidis G., Solomou E., Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features, Comput Methods Programs Biomed., 89(1):24-32.
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34
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2008 Mrozek M., Batko B., Coreduction Homology Algorithm, Discrete and Computational Geometry, accepted.
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2008 Mrozek M., Batko B., Coreduction Homology Algorithm, Discrete and Computational Geometry, accepted.
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35
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2008 Mrozek M., Pilarczyk P., Zelazna N., Homology Algorithm Based on Acyclic Subspace, Computers and Mathematics with Applications, 55, Issue 11, 2395-2412.
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2008 Mrozek M., Pilarczyk P., Zelazna N., Homology Algorithm Based on Acyclic Subspace, Computers and Mathematics with Applications, Vol. 55, Issue 11, 2395-2412.
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36
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36148999486
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Yeh Jinn-Yi, Pu
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Software
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2008 Yeh Jinn-Yi, Pu J. C., A hierarchical genetic algorithm for segmentation of multi-spectral humanbrain MRI, Expert Systems with Applications, 34(2):1285-1295. Software:
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J. C., A hierarchical genetic algorithm for segmentation of multi-spectral humanbrain MRI, Expert Systems with Applications
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2008 Pilarczyk P., Homology Software, http://www.math.gatech.edu/~chom.
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2008 Pilarczyk P., Homology Software, http://www.math.gatech.edu/~chom.
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2008 Zelawsici M., SD Pattern Recognition Software, http://www.ii.uj.edu. pl/~zelawski/rec-hom.htm.
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2008 Zelawsici M., SD Pattern Recognition Software, http://www.ii.uj.edu. pl/~zelawski/rec-hom.htm.
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