11 July 2016 Automated cervical precancerous cells screening system based on Fourier transform infrared spectroscopy features
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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.
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Yessi Jusman, Nor Ashidi Mat Isa, Siew-Cheok Ng, Khairunnisa Hasikin, Noor Azuan Abu Osman, "Automated cervical precancerous cells screening system based on Fourier transform infrared spectroscopy features," Journal of Biomedical Optics 21(7), 075005 (11 July 2016). https://doi.org/10.1117/1.JBO.21.7.075005 . Submission:
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