Journal of Theoretical and Applied Information Technology Cancer Classification Based on Microarray Gene Expression Data Using Dct and Ann

In this paper, a stomach cancer detection system based on Artificial Neural Network (ANN), and the Discrete Cosine Transform (DCT), is developed. The proposed system extracts classification features from stomach microarrays using the DCT. The features extracted from the DCT coefficients are then applied to an ANN for classification (tumor or non—tumor). The microarray images used in this study were obtained from the Stanford Medical Database (SMD). Simulation results showed that the proposed system produces a very high success rate.

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