OCANSpectra: an oral cancer detection system from salivary ATR-FTIR spectroscopy

• Anagê C. Mundim Filho Federal University of Uberlândia
• Janayna M. Fernandes Federal University of Uberlândia
• Robinson Sabino-Silva Federal University of Uberlândia
• Murillo G. Carneiro Federal University of Uberlândia

DOI: https://doi.org/10.5753/eniac.2023.234549

Abstract

Detecting oral cancer through immunohistochemical analysis is invasive, expensive, and often only detects cancer in later stages. Therefore, finding a non-invasive, sustainable, low-cost, and accurate diagnostic method is of great interest to the medical community. Attenuated total reflection infrared spectroscopy (ATR-FTIR) can provide valuable data for the detection of various diseases, including oral cancer. We investigate the use of ATR-FTIR data obtained from salivary samples to the detection of oral cancer. We evaluate five baseline correction methods and four classification techniques in order to improve respectively the spectrum quality and the predictive model. The combination of asymmetric least squares and support vector machine with gaussian kernel provided the best results with real data.

Keywords: ATR-FTIR, FTIR, oral cancer, detection, classification, SVM, LDA, baseline correction

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