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Journal of Biomedical Optics

Automated cervical precancerous cells screening system based on Fourier transform infrared spectroscopy features
Author(s): Yessi Jusman; Nor Ashidi Mat Isa; Siew-Cheok Ng; Khairunnisa Hasikin; Noor Azuan Abu Osman
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Paper Abstract

Fourier transform infrared (FTIR) spectroscopy technique can detect the abnormality of a cervical cell that occurs before the morphological change could be observed under the light microscope as employed in conventional techniques. This paper presents developed features extraction for an automated screening system for cervical precancerous cell based on the FTIR spectroscopy as a second opinion to pathologists. The automated system generally consists of the developed features extraction and classification stages. Signal processing techniques are used in the features extraction stage. Then, discriminant analysis and principal component analysis are employed to select dominant features for the classification process. The datasets of the cervical precancerous cells obtained from the feature selection process are classified using a hybrid multilayered perceptron network. The proposed system achieved 92% accuracy.

Paper Details

Date Published: 11 July 2016
PDF: 9 pages
J. Biomed. Opt. 21(7) 075005 doi: 10.1117/1.JBO.21.7.075005
Published in: Journal of Biomedical Optics Volume 21, Issue 7
Show Author Affiliations
Yessi Jusman, Univ. of Malaya (Malaysia)
Univ. Abdurrab (Indonesia)
Nor Ashidi Mat Isa, Univ. Sains Malaysia (Malaysia)
Siew-Cheok Ng, Univ. of Malaya (Malaysia)
Khairunnisa Hasikin, Univ. of Malaya (Malaysia)
Noor Azuan Abu Osman, Univ. of Malaya (Malaysia)

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