Machine Learning Classification of Cervical Tissue Liquid Based Cytology Smear Images by Optomagnetic Imaging Spectroscopy

• Published in: Tehnički vjesnik Vol. 26; no. 6; pp. 1694 - 1699
• Main Authors: Hut, Igor, Jeftic, Branislava, Matija, Lidija, Cojbasic, Zarko, Koruga, Djuro
• Format: Journal Article Paper
• Language: English
• Published: Slavonski Baod University of Osijek 01.12.2019; Josipa Jurja Strossmayer University of Osijek; Strojarski fakultet u Slavonskom Brodu; Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek; Građevinski i arhitektonski fakultet Osijek; Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
• Subjects: Algorithms; Artificial intelligence; Cancer; Cancer diagnosis; Cancer screening; Cellular biology; Cervical cancer; Classification; Comparative analysis; Cytology; Data mining; Health screening; Image classification; LBC; Machine learning; Medical screening; Medical tests; OMIS; Portable equipment; screening; Spectroscopy; Spectrum analysis; Women's health; Serbia
• ISSN: 1330-3651; 1848-6339
• DOI: 10.17559/TV-20190528192618

Semi-automated system for classification of cervical smear images based on Optomagnetic Imaging Spectroscopy (OMIS) and machine learning is proposed. Optomagnetic Imaging Spectroscopy has been applied to screen 700 cervical samples prepared according to Liquid Based Cytology (LBC) principles and to record spectra of the samples. Peak intensities and peak shift frequencies from the spectra have been used as features in classification models. Several machine learning algorithms have been tested and results of classification have been compared. Results suggest that the presented approach can be used to improve standard LBC screening tests for cervical cancer detection. Developed system enables detection of pre-cancerous and cancerous states with sensitivity of 79% and specificity of 83% along with AUC (ROC) of 88% and could be used as an improved alternative procedure for cervical cancer screening. Moreover, this can be achieved via portable apparatus and with immediately available results.