Classification of Chronic Kidney Diseases with Statistical Analysis of Textural Parameters: A Data Mining Technique
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R. Chellappa. Digital Image Processing. IEEE Computer Society Press; 1992.
D. Balasubramanian, P. Srinivasan, R. Gurupatham. Automatic classification of focal lesions in ultrasound liver images using principal component analysis and neural networ. ks, Engineering in Medicine and Biology Society, 2007. EMBS 2007; In: 29th Annual International Conference of the IEEE. Lyon, France, August 2007, 2134–7p.
J. Blahuta, T. Soukup, P. Čermák. The image recognition of brain-stem ultrasound images with using a neural network based on PCA, recent researches in communications, electrical and computer engineering, EMEH. 2011, 11: 134–42p.
E.S. Wan Mahani Hafizah. Automatic region of interest generation for kidney ultrasound images ACS11, In: Proceedings of the 11th World Scientific and Engineering Academy and Society (WSEAS) International Conference on Applied computer science Stevens Point. Wisconsin, USA, 2011, 70–5p.
http://www.cs.waikato.ac.nz/ml/weka/.
http://www.cs.waikato.ac.nz/ml/weka/arff.html.
D. Gupta, D. Kumari, Raina. Hybrid feature based natural scene classification using neural network, Int J Comput Appl. 2012; 41(16): 48–52p.
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