Capability of new features from FTIR Spectral of cervical cells for cervical precancerous diagnostic system using MLP networks

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2009, Pages

  Jusman, Yessi ^a   Sulaiman, Siti Noraini ^a   Isa, Nor Ashidi Mat ^a   Yusoff, Intan Aidha ^a   Adnan, Rohana ^b   Othman, Nor Hayati ^c   Zaki, Ahmad ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

^b SCHOOL OF PHYSICS   (Malaysia)

^c SCHOOL OF MEDICAL SCIENCES   (Malaysia)

Author keywords

Cervical cancer; Component; Fourier Transform InfraRed (FTIR); Multilayered perceptrons (MLP); Neural networks

Indexed keywords

CERVICAL CANCERS; CERVICAL CELLS; DIAGNOSTIC SYSTEMS; FOURIER TRANSFORM INFRARED; FOURIER TRANSFORM INFRARED (FTIR); FTIR; LEVENBERG-MARQUARDT; MULTILAYERED PERCEPTRONS; PEAK HEIGHT; PROTEIN BANDS; TRAINING ALGORITHMS;

CELLS; CYBERNETICS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; FOURIER TRANSFORMS; PATTERN RECOGNITION SYSTEMS; PROTEINS;

NEURAL NETWORKS;

EID: 77951144414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2009.5396006     Document Type: Conference Paper

References (31)

1. Mordenchai, R. K., Sahu, Z. Hammody, S. Mark, K. Kantarovich, H. Guterman, A . Podshywalov, J. Goldstein & S. Argov. Possible common biomarkers from FTIR microspectroscopy of cervical cancer and melanoma. Israel, 2004.
2. Franco, E., E. Duarte-Franco, and A. Ferencz. 2001. Cervical cancer : epidemiology, prevention, and the role of human papillomavirus infection. Can. Med. Assoc. J. 164:1017-1025.
3. American Cancer Society, 2000. Cancer facts and figures. American Cancer Society, New York, NY
4. Michael J. Walsh, Matthew J. German, Maneesh Singh, Hubert M. Pollock, Azzedin Hammiche, Maria Kyrgiou, Helen F. Stringfellow, Evangelos Paraskevaidis, Pierre L. Martin-Hirsch, Francis L. Martin; IR Microspectroscopy: Potential Applications in Cervical Cancer Screening, 2006.
5. Melissa J. Romeo, Bayden R. Wood, Michael A. Quinn, Don Mcnaught. Removal of Blood Components from Cervical Smears: Implications for Cancer Diagnosis Using FTIR Spectroscopy. Australia, 2002.
6. Linder J, Recent advances in thin-layer cytology. Diagn Cytopathol 1998;18:24-32
7. Wong PT, Senterman MK, Jackli P. Detailed account of confounding factors in interpretation of FTIR spectra of exfoliated cervical cells. Biopolymers 2002; 67: 376-86..
8. Shady G. ET, R Adnan, Z N Muhamed, NH Othman. Comparative Study Between Pap Smear Cytology and FTIR Spectroscopy: A New Tool for Screening for Cervical Cancer. Pathology 2008; 40(6):600-603.
9. MFK Fung, MB, Mary S, Wylam F. Comparison of Fourier Transform Infrared Spectroscopic Screening of Exfoliated Cervical Cells with Standard Papanicolaou Screening. 1997; 66: 10-15.
10. WCAS 2009, June. Fourier Transform Infrared Spectroscopy. Available: http://www.wcaslab.com/TECH/tbftir.htm.
11. Evgeny B, Shmuel A, Shaul M. Monitoring of viral cancer progression using FTIR microscopy: A comparative study of intact cells and tissues. 2008
12. Noel PGR. A Guide to the Complete Interpretation of Infrared Spectra of Organic Structures. UK: Wiley; 1994
13. Byler DM, Susi H. Biopolymers 1986;25:469-487
14. Adam S, Liquier J, Taboury JA, Taillandier E. Biochemistry 1986;25:3220-3225
15. Jackson M, Mantsch HH. Spectrochim Acta 1993;15:53-69.
16. Ratana S, Somchai I, Venus U. A new approach for the detection of cervical cancer in Thai women. 2003 ; 90 : 10-14.
17. Erick N, Stephen R. Classification of Cervical Cancer Cells using FTIR Data. 2006.
18. K. Yano, S. Ohoshima, Y. Gotou. Direct Measurement of Human Lung Cancerous and Noncancerous Tissues by Fourier Transform Infrared Microscopy: Can an Infrared Microscope Be Used as a Clinical Tool?. Analytical Biochemistry 287, 218-225 (2000).
19. N Fujioka, Y Morimoto. Discrimination between normal and malignant human gastric tissues by Fourier transform infrared spectroscopy. Cancer Detection and Prevention 28 (2004) 32-36 (Pubitemid 39403831)
20. M Diem, M Romeo. Comparison of Fourier Transform Infrared (FTIR) Spectra of Individual Cells Acquired using Synchrotron and Conventional Sources. Infrared Physics & Technology 45 (2004) 331-338.
21. J. Ramesh, A. Salman, Z. Hammody. Application of FTIR microscopy for the characterization of malignancy: H-ras transfected murine fibroblasts as an example, J. Biochem. Biophys. Methods 50 2001 33-42E.
22. E. Reber, R. L. Michell, and C. J. Carter, "Oxygen absorption in the Earth's atmosphere," Aerospace Corp., Los Angeles, CA, Tech. Rep. TR-0200 (420-46)-3, Nov. 1988.
23. DE. Maziak, Minh TD, Farid. Fourier-transform infrared spectroscopic study of characteristic molecular structure in cancer cells of esophagus: An exploratory study. Cancer Detection and Prevention 31 (2007) 244-253.
24. Parker, F. S. (1971). Application of Infrared Spectroscopy in Biochemistry. Biology and Medicine. Plenum, New York.
25. K. Yano, S. Ohoshima, Y. Gotou, Evaluation of glycogen level in human lung carcinoma tissues by an infrared spectroscopic method. Cancer Letters 110 (1996) 29-34
26. Wong, P.T.T., Wong, R.K.. Caputo. 'IA.. tiodwm. 1.A. and Rigas, B. (1991). Infrared spectroscopy of exfoliated human cervical cells: evidence of extensive structural changes during carcinogenesis. Proc. Natl. Acad. Sci. USA. XX. 1098X 10992
27. Edmondson, H.A. and Peters, R.L. (1977) Liver. In: Pathology, Vol.2, pp. 1321-1438. Editors: W.A.P. Anderson and J.M. Kissane. Mosby, St. Louis, MO
28. Rigas, B.. Morgello, S. Goldman. IS. and Won:. i'.T I. (1990). Human colorectal cancers display abnormal Fourier transform infrared spectra. Proc. Nan. Asad. S( i 1 S/Z, 97 8 140-8 144.
29. Huang, G.-B., Zhu, Q.-Y., and Siew, C.-K., Extreme learning machine: Theory and applications. Neurocomputing, (2006). 70(1-3): 489-501
30. Mat-Isa, N.A., Ghafar, R., Mashor, M.Y., Othman, N.H. & Madhavan M. 2003. Application of the RBF and MLP Networks for diagnosis of Cervical Cancer. Proceedings of the 3rd International Conference on Advances in Strategic Technologies (ICAST2003)
31. N Mustafa, NA Mat-Isa, MY Manshor, NH Othman. (2008). Capability of New Features Of Cervical Cells for Cervical Cancer Diagnostic System Using Hierarchical Neural Network. IJSSST, Vol.9, No.2, 2008.