|
Avci, E. (2008). Comparison of wavelet families for texture classification by using wavelet packet entropy. Applied Soft Computing, 8(1), pp. 225-231. Binning, M., Liu, J., Kestle, J., Brockmeyer, D., &; Walker, M. (2007, 11). Optic pathway gliomas: a review. Neurosurgical Focus, 23(5), pp. p1-8. Boser, E. B., Guyon, M. I., &; Vapnik, V. (1992). A training algorithm for optimal margin classifiers. ACM, pp. p144-152. Breiman, L., Friedman, J. H., Olshen, R. A., &; Stone, C. I. (1984). Classification and regression trees. Belmont, Calif: Wadsworth. Burrus, C., Gopinath, R., &; Guo, H. (1988). Introduction to Wavelet and Wavelet Transforms. New Jersey: Prentice-Hall. Chen, Y. (2011). A robust fully automatic scheme for general image segmentation. Digital Signal Processing, 21, pp. 87-99. Chu, C., &; Aggarwal, K. J. (1993). The integration of image segmentation maps using region and edge information. IEEE Transaction on Pattern Analysis and Machine Intelligence, 15(12), pp. p1241-1252. Chuang, C.-L. (2013, 7). Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction. Information Sciences, 236, pp. pp. 174-185. Cortes, C., &; Vapnik, V. (1995, 9). Support-vector networks. Machine Learning, 20(3), pp. 273-297. Devasahayam, S. (2000). Signals and Systems in Biomedical Engineering. Kluwer Academic Publishers. Fan, J., Yau, D. Y., Elmagarmid, K. A., &; Aref, W. (2001). Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing. IEEE Transactions on Image Processing, 10(10), pp. p1454-1466. Fan, X. S., Man, Z., &; Samur, R. (2004). Edge based region growing: a new image segmentation method. ACM. Fleisher, A. S., Chen, K., Quiroz, Y. T., Jakimovich, L. J., Gomez, M. G., Langois, C. M., . . . Reiman, E. M. (2012, 11 5). Florbetapir PET analysis of amyloid-β deposition in the presenilin 1 E280A autosomal dominant Alzheimer’s disease kindred: a cross-sectional study. The Lancet Neurology. Gregg C., F., Kirkwood F., A., William T., A., &; ADHERE Investigators. (2003, 10). Risk stratification for in-hospital mortality in heart failure using classification and regression tree (CART) methodology: analysis of 33,046 patients in the ADHERE registry. Journal of Cardiac Failure, 9(5), p. pp. s79. Guler, I., Demirhan, A., &; Karak, R. (2009, 7). Interpretation of MR images using self-organizing maps and knowledge-based expert systems. Digital Signal Processing, 19(4), pp. p688-677. Haar. (1910). Theorie der orthogonalen funktionen -systeme. Mathematische Annalen, 69, pp. p331-371. Kohonen, T. (1990, 9). The self-organization map. Proceedings of the IEEE, 78(9), pp. 1464-1480. Li, Y. (2006, 10). Predicting materials properties and behavior using classification and regression trees. Materials Science and Engineering, 433(1-2), pp. pp.261-268. Mallat, S. (1988). A Theory for Multiresolution Signal Decomposition, The Wave Representation. Comm. Pure Appl. Math, 41, pp. p674-693. McEvoy, L. K., Holland, D., Hagler, D. J., Fennema-Notestine, C., Brewer, B. J., &; Dale, M. A. (2011). Mild Cognitive Impairment: Baseline and Longitudinal Structural MR Imaging Measures Improve Predictive Prognosis. Radiology, 259(3), pp. p834-843. Otsu, N. (1979). A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), pp. 62-66. Pavlidis, T., &; Liow, Y. (1990). Integrating region growing and edge detection. IEEE Transaction on Pattern Analysis and Machine Intelligence, 12(3), pp. p225-233. Toulson, D., &; Boyce, J. (1992). Segmentation of MR image using neural nets. Image and Vision Computing, 10, pp. p324-328. Turkoglu, I., Arslan, A., &; Ilkay, E. (2003). An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural Networks. Computers in Biology and Medicine, 33(4), pp. p319-331. Weizman, L., Ben Sira, L., Joskowicz, L., Constantini, S., Precel, R., Shofty, B., &; Ben Bashat, D. (2012). Automatic segmentation, internal classification, and follow-up of optic. Medical Image Analysis, 16, pp. 177-188. Yu, X., Yla-Jasski, J., Huttunen, O., Vehkomaki, T., Sipila, O., &; Katila, T. (1992). Image segmentation combining region growing and edge detection. In Proc. of the 11th IAPR International Conf. on Pattern Recognition, 3, pp. p481-484.
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