An overview of infrared spectroscopy based on continuous wavelet transform combined with machine learning algorithms: Application to chinese medicines, plant classification, and cancer diagnosis

Applied Spectroscopy Reviews

Volumn 45, Issue 2, 2010, Pages 148-164

  Cheng, Cungui ^a   Liu, Jia ^a   Zhang, Changjiang ^a   Cai, Miaozhen ^a   Wang, Hong ^a   Xiong, Wei ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Cancer diagnosis; Chinese medicine identification; CWT; FTIR; Machine learning; Plant classification

Indexed keywords

CANCER DIAGNOSIS; CHINESE MEDICINE IDENTIFICATION; FTIR; MACHINE-LEARNING; PLANT CLASSIFICATION;

FEATURE EXTRACTION; FOURIER TRANSFORM INFRARED SPECTROSCOPY; MEDICINE; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET TRANSFORMS;

LEARNING ALGORITHMS;

EID: 77949548139     PISSN: 05704928     EISSN: 1520569X     Source Type: Journal    
DOI: 10.1080/05704920903435912     Document Type: Article

References (29)

1. Mckelvy, M., Britt, T.R., Davis, B.L., and Gillie, J.K. (1998) Infrared spectroscopy. Anal. Chem., 70(12): 119-177.
2. Movasaghi, Z., Rehman, S., and Rehman, I.ur. (2008) Fourier transform infrared spectroscopy of biological tissues. Appl. Spectros. Rev., 43: 134-179.
3. Tian, G.Y., Yuan, H.F., Liu, H.Y., and Lu, W.Z. (2003) The application of wavelet transform in near infrared spectroscopy. Spectroscopy and Spectral Analysis, 23: 1111-1114.
4. Niu,Y.R. (2009) The overviewonwavelet analysis and application. Sci. Tech. Inform., 3: 158-159.
5. Shao, X.G., Pan, C.Y., and Sun, L. (2000) Wavelet transform and signal processing in analytical chemistry. Progr. Chem., 12: 233-244.
6. Cheng, C.G., Cheng L.Y., and Xu, R.S. (2007) Classification of FTIR gastric cancer data using wavelets and SVM. In Proceedings of the Third International Conference on Natural Computation, Vol.1, 543-547.
7. Hong, Q. H., Cheng C. G., Cheng, Z. F., and Li, D.T. (2007) Application of HATR-FTIR spectroscopy to the analysis of quality mensuration of rhizoma atractylodes. Spectroscopy and Spectral Analysis, 27: 283-286.
8. Cheng, C.G.,Wu, X.H., andWang, S.Q. (2004) Application HATR-FTIR spectroscopy combined with PCA to the identification of Viola yedoensis Makino and its confusable varieties. Chin. J. Anal. Chem., 32: 1529-1531.
9. Dong, B., Sun, S. Q., Zhou, H.T., and Hu, S.L. (2002) Rapid and undamaged determination of chishao by Fourier-transform infrared spectroscopy and clustering analysis. Spectroscopy and Spectral Analysis, 22: 234-236.
10. Zhang, C.J. and Cheng, C.G. (2008) Identification between Stephania tetrandras Moore and Stephania cepharantha Hayata. Spectros. Int. J., 22: 371-386.
11. Sing, J.K., Basu, D.K., and Nasipuri, M. (2007) Face recognition using point symmetry distancebased RBF network. Applied Soft Computing, 7: 58-70.
12. Cheng, C.G., Tian, Y.M., and Zhang, C.J. (2008) Research of recognition method between semen cuscutae and its sibling plant Japanese dodder seed based on FTIR-CWT and ANN classification method. Acta Chimica Sinica, 66: 793-798.
13. Ha, S.B.G., Ma, J.W., Zhou, Z.J., and Li, Q.Q. (2003) Artificial neural network method used for weather and AVHRR thermal data classification. Journal of the Graduate School of the Chinese Academy of Sciences, 20: 328-333.
14. Jin, W.Y., and Cheng, L.Y. (2008) Identification of Fructus lycii and its unofficial samples of same genera using continuous wavelet transform with HART-FTIR. Journal of Zhejiang Normal University (Natural Sciences), 31: 312-315.
15. Zhang, C.J., Li, D.T., Liang, J.Z., and Cheng, C.G. (2007) Identification of semen celosiae and semen celosiae cristatae using continuous wavelet transform with FTIR. Spectroscopy and Spectral Analysis, 27: 50-53.
16. Cheng, C.G., Xiong, W., and Jin, W.Y. (2009) Recognition of Equisetum arvense L. and Hippochaete ramosissima Boerner based on Fourier transform infrared spectrometry combined with chemometrics. Chin. J. Anal. Chem., 37: 676-680.
17. Wang, L.P. and Fu, X.J. (2005) Data Mining with Computational Intelligence. Springer: Berlin.
18. Lee, J. and Lee, D. (2005) An improved cluster labeling method for support vector clustering. IEEE Trans. Pattern Anal. Mach. Intell., 27: 461-464.
19. Lü, H.F., Cheng, C.G., Tang, X., and Hu, Z.H. (2004) FTIR spectrum of hypericum and tradeum with reference to their identification. Acta Botanica Sinica, 46: 401-406.
20. Huang, H., Sun, S.Q., Xu, J.W., andWang, Z. (2003) Novel application of FTIR in medical herb chemotaxonomy. Spectroscopy and Spectral Analysis, 23: 253-257.
21. Cheng, C.G., Xiong,W., Tian, Y.M., and Zhang, C.J. (2009) A novel recognition of three kinds of sibling plants using FTIR with continuous wavelet feature extraction combined with an artificial neural network. Spectroscopy, 24 (2): 58-67.
22. Cheng, C.G., Sun, G.L., and Zhang, C.J. (2007) Early detection of gastric cancer using wavelet feature extraction and neural network classification of FT-IR. Spectroscopy, 22 (11): 38-42.
23. Wang, J.S. and Shi, J.S. (2003) FT-IR spectroscopic analysis of normal and cancerous tissues of esophagus. World J. Gastroenterol., 9: 1897-1899.
24. Sahu, R.K. andMordechai, S. (2005) Fourier transform infrared spectroscopy in cancer detection. Future Oncol., 1: 635-647.
25. Mark, S., Sahu, R.K., and Kantarovich, K. (2004) Fourier transform infrared microspectroscopy as a quantitative diagnostic tool for assignment of premalignancy grading in cervical neoplasia. J. Biomed. Optic., 9: 558-567.
26. Cheng, C.G., Tian, Y.M., and Jin,W.Y. (2007) Study on themethods of wavelet feature extraction and SVM classification of FTIR lung cancer data. Acta Chimica Sinica, 65: 2539-2543.
27. Cheng, C.G., Tian, Y.M., and Jin, W.Y. (2008) A study on the early detection of colon cancer using the methods of wavelet feature extraction and SVM classification of FTIR. Spectros. Int. J., 22: 397-404.
28. Bai, L. and Liu,Y.H. (2005) Classification of FTIR cancer data usingwavelets and fuzzy C-means clustering. Proceedings of SPIE, 6001: 83-91.
29. Cheng, C.G., Tian, Y.M., and Zhang, C.J. (2007) Classification of FTIR cancer data using wavelets and BPNN. Proceedings of SPIE, 6826: 682633-1-682633-682638