1. College of Instrument Science and Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China 2. The State Key Laboratory of Rare Earth Materials and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China 3. Department of General Surgery, Third Hospital, Peking University, Beijing 100083, China 4. Department of Surgery, the First Hospital of Xi’an Jiaotong University, Xi’an 710061, China
Abstract：Early diagnosis and early medical treatments are the keys to save the patients′ lives and improve their living quality. Fourier transform infrared (FTIR) spectroscopy can be used to distinguish malignant from normal tissues at the molecular level. In the present paper, programs were made with chemometrics method of pattern recognition to classify unknown tissue samples. Spectral data were pretreated by using smoothing, SNV and RHM method. Cross validation was used to test the discrimination effect of KNN method. A total of 63 gastric tissue samples were employed in this study, including 26 cases of normal tissue samples and 37 cases of cancerous tissue samples. The recognition results of the KNN method showed that the correctness of classification achieved 91.7%.
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