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[1]http://www.fma.org.tw/medicial_data/taiwan01.htm#07台灣醫學會,行政院衛生署八十二年度委託研究計畫研究報告 [2]http://www.libertytimes.com.tw/2005/new/oct/21/life/medicine-1.htm國泰醫院乳癌中心主任杜世興 [3]J Suckling et al. “The mammographic images analysis society digital mammogram database”, Exerpta Medica. International Congress Series, vol. 1069, pp. 375378, 1994 http://www.wiau.man.ac.uk/services/MIAS/MIASweb.html
[4]Fatima L. S. Nunes, Homero Schiabel et al. “ethod to contrast enhancement of digital dense breast images aimed to detect clustered microcalcifications” IEEE International Conference on Image Processing, v 1, 2001, p 305-308 [5]A.Raji et al. “A gray-level transformation-based method for image enhancement” Pattern Recognition Letters, v 19, n 13, Nov, 1998, p 1207-1212 [6]Reyer Zwiggelaar et al. “Linear structures in mammographic images: detection and classification” IEEE Transactions on Medical Imaging, v 23, n 9, September, 2004, p 1077-1086 [7]Song-yang Yu, Ling Guan “A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films” IEEE Transactions on Medical Imaging, v 19, n 2, Feb, 2000, p 115-126 [8]T. O. Gulsrud, J. H. Husoy, “Optimal Filter-Based Detection of Microcalcifications,” IEEE Trans. On Biomedical Engineering, vol. 48, no. 11, Nov. 2001. [9]El-Naqa et al. “A support vector machine approach for detection of microcalcifications” IEEE Transactions on Medical Imaging, v 21, n 12, December, 2002, p 1552-1563 [10]Ioanna Christoyianni et al, “Breast tissue classification in mammograms using ICA mixture models” ICANN 2001,LNCS2130,pp. 554-560,2001 [11]P. Comon, “ Independent component analysis. A new concept?” Signal Processing, v 36, n 3, Apr, 1994, p 287-314 [12]http://www.cis.hut.fi/
[13]A. Hyvarinen,J. Karhunen, E. Oja, Independent Component Analysis, John Wiley & Sons, New York, 2001 [14]Ioanna Christoyianni, “Computer aided diagnosis of breast cancer in digitized mammograms” Computerized Medical Imaging and Graphics, v 26, n 5, September/October, 2002, p 309-319 [15]Rafayah Mousa et al. “Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural” Expert Systems with Applications, v 28, n 4, May, 2005, p 713-723 [16]Liyang Wei et al.“A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications” IEEE Transactions on Volume 24, Issue 3, March 2005 Page(s):371-380 [17]Reyer Zwiggelaar et al. “ The benefit of knowing your linear structures in mammographic images” In Proceedings of Medical Image Understanding and Analysis ’02 , p 73-76, 2002. [18]M. Sonka, V. Halavac & R. Boyle. Image Processing, Analysis and Machine Vision. Chapman and Hall Publishing, 1993. [19]“數位像處理 活用Matlab” 繆紹綱編著 全華科技圖書股份有限公司 [20]“一個使用紋理特徵及羅吉斯回歸分辨超音波乳房腫塊良惡性的方法” 施泰宇著 [21]A. Hyvarinen, E. Oja “Independent component analysis: Algorithms and applications” Neural Networks, v 13, n 4, May, 2000, p 411-430 [22]M. S. Bartlett et al.“ Face recognition by independent component analysis” IEEE Transactions on Neural Networks, v 13, n 6, November, 2002, p 1450-1464 [23]Tee Connie et al. “Palmprint recognition with PCA and ICA” Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications, November 08, 2003, Berkley, California [24]Jarmo Hurri et al.“Image feature extraction using independent component analysis” In Proc. NORSIG’96, Espoo, Finland [25]V. Vapnik, Statistical Learning Theory. New York: Wiley,1998. [26]Ted C. Wang, Nicolaos B. Karayiannis, “Detection of microcalcifications in digital mammograms using wavelets” IEEE Trans. Med. Img., vol. 17, no. 4, Aug. 1998. [27]Shawe-Taylor, N.C.a.J., “An Introduction to Support Vector Machines and Other Kernel-based Learning Methods” 2000: Cambridge University Press. [28]Y. Jiang, R. M. Nishikawa et al. “Improving breast cancer diagnosis with computer-aided diagnosis,” Academic Radiol., vol. 6, pp. 22-23, 1999. [29]Sung-Nien Yu, Kuen-Yuei Li, Yu-Kun Huang,“Detection of microcalcification in digital mammograms using wavelet filter and Markov random field model” Computerized Medical Imaging and Graphics 30 (2006) 163-173 [30]“模式識別” 邊肇祺著 清華大學出版社 [31]“類神經網路” 羅華強編著 清蔚科技出版
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