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Development of the infrared images processing algorithm for the automatic detection of the early stage of periodontal disease

DOI 10.18127/j15604136-201805-05


Leonid Akulenko -  Biotechnical Medical Systems (BME-1) dept, Bauman Moscow State Technical University, 2 nd Baumanskaja St. n°5, bld 1, Moscow, 105005, Russian Federation

Alexander Kolpakov -  Biotechnical Medical Systems (BME-1) dept, Bauman Moscow State Technical University, 2 nd Baumanskaja St. n°5, bld 1, Moscow, 105005, Russian Federation


According to the WHO, inflammatory periodontal diseases occur in 90-95% of the adult population and lead to pathological changes in the dentoalveolar system [1]. Diagnosis is more based on visual examination of the oral cavity and index evaluation of the soft tissue periodontal conditions and is subjective. In most cases, patients already diagnosed with signs of inflammatory diseases are diagnosed, diagnosis at an early stage of inflammation causes significВнесиant difficulties, since there are no clinical manifestations of the inflammatory process [2-5]. As a result of previous studies, the possibility of visualization of the foci of inflammation of soft periodontal tissue (hereinafter – SPT) at an early stage has been established [1-8]. The purpose of this study is the development and testing of an algorithm for the automatic detection of foci of inflammation in the IR images of SPT. In the course of the research, the following tasks were set and solved: – the effectiveness of segmentation algorithms is investigated when inflammation foci are detected at various stages of the inflammatory process; – an assessment of the quality of the algorithm for automatic detection of inflammatory foci on the IR images of SPT was carried out.

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June 24, 2020
May 29, 2020

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