Abstract
Most common pathologic conditions in the alveolar bone derived from necrotic dental pulp are periapical inflammatory lesions (periapical granuloma and periapical cyst). The early diagnosis of lesions of the oral cavity is challenging for clinical practitioners. This research implements a computer-aided diagnostic system for classification of periapical inflammatory lesions in order to improve quality of diagnosis and planning of treatment. A data set was obtained from Department of Oral Surgery, School of Dentistry, University of Sarajevo and contains 13 input parameters. Our results demonstrated that usage of Random Forest algorithm can increase true diagnosis to 85.71%. It has also been shown that this accuracy can be achieved with fewer number of input parameters by keeping high detection accuracy for both cysts and granulomas. A developed computer aided diagnostic system with a proven accuracy can be used for a creation of a user interface that will increase quality of diagnosis and planning of treatment.
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Osmanovic, A., Halilovic, S., Jukic, S., Kevric, J., Hadziabdic, N. (2020). Application of a Computer-Aided Diagnostic System for Early Identification of Periapical Lesions—A Pilot Study. In: Badnjevic, A., Škrbić, R., Gurbeta Pokvić, L. (eds) CMBEBIH 2019. CMBEBIH 2019. IFMBE Proceedings, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-17971-7_11
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