title: Automated cervical precancerous cells screening system based on Fourier transform infrared spectroscopy features.
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.
authors.affiliation: University of Malaya, Department of Biomedical Engineering, Faculty of Engineering, 50603 Kuala Lumpur, MalaysiabUniversitas Abdurrab, Department of Informatics Engineering, Faculty of Engineering, Pekanbaru, 28291 Riau, Indonesia.
authors.forename: Yessi
authors.initials: Y
authors.lastname: Jusman
authors.affiliation: University of Science Malaysia, School of Electrical and Electronic Engineering, Engineering Campus, Nibong Tebal, 14300 Penang, Malaysia.
authors.forename: Nor Ashidi
authors.initials: NA
authors.lastname: Mat Isa
authors.affiliation: University of Malaya, Department of Biomedical Engineering, Faculty of Engineering, 50603 Kuala Lumpur, Malaysia.
authors.forename: Siew-Cheok
authors.initials: SC
authors.lastname: Ng
authors.affiliation: University of Malaya, Department of Biomedical Engineering, Faculty of Engineering, 50603 Kuala Lumpur, Malaysia.
authors.forename: Khairunnisa
authors.initials: K
authors.lastname: Hasikin
authors.affiliation: University of Malaya, Department of Biomedical Engineering, Faculty of Engineering, 50603 Kuala Lumpur, Malaysia.
authors.forename: Noor Azuan
authors.initials: NA
authors.lastname: Abu Osman
mesh_terms: D000465:Algorithms; D002478:Cells, Cultured; D002584:Cervix Uteri / Q000166:cytology; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D014584:User-Computer Interface; D002578:Uterine Cervical Dysplasia / Q000000981:diagnostic imaging* / Q000473:pathology