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NTIS 바로가기한국지능시스템학회 논문지 = Journal of Korean institute of intelligent systems, v.27 no.3, 2017년, pp.261 - 267
This paper presents a method to automatically diagnose the brain tumor by learning neural network, which is based on extracting the texture features of the preprocessed MRI image. The preprocessing is applied not only to enhance the image quality but also to reduce a diagnostic time by extracting on...
http://www.braintumor.or.kr/public/infor/sub3_1.php
M. S. Mane, N. J. Kulkarni and S. N. Randive, "Review on Brain Tumor Detection and Segmentation Techniques," International Journal of Computer Applications, Vol. 95, No. 5, pp. 34-38, June 2014.
T. Tuceryan and A. K. Jain, 'Texture Analysis,' The Handbook of Pattern Recognition and Computer Vision(2nd Edition), World Scientific Pub. Co., pp. 207-248, 1998
http://support.minitab.com/en-us/minitab/17/topic-library/basic-statistics-and-graphs/summary-statistics/how-skewness-and-kurtosis-affect-your-distribution/
http://birmanns.biomachina.org/courses/imageproc/131.pdf
J. A. Freeman and D. M. Skapura, Neural Networks : Algorithms, Applications, and Programming Techniques, Addison Wesley Pub., 1991.
H. Memarian and S. K. Balasundram, "Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed," Journal of Water Resource and Protection, pp. 870-876, April 2012.
Y. H. Cho, Digital Image Processing, Intervision Pub., 2005.
S. C. Kim, Mechanics of materials, Chungmoon Pub., 1992.
http://www.dcmc.co.kr/content/02treatment/02_0102.asp?ct_idx2596
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