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16 September 2002Cancer cell recognition with hybrid optical neural network
1Nanjing Univ. of Aeronautics and Astronautics and Nanchang Institute of Aeronautical Tech (China) 2Nanchang Institute of Aeronautical Technology (China) 3Nanjing Univ. of Aeronautics and Astronautics (China)
In this paper, we consider a promising method of pattern recognition based on Texture Features (TF) to classify cancer cell. With this technique, the TF characters are calculated among different cells or different regions of cells. Then these texture features are transmitted to the input neurons of the Back Propagation (BP) neural network. After training phase of neural network, the structure is determined. At last, we design an opto-electronic neural network to complete the cancer cells recognition.