Periodontitis is a prevalent inflammatory disease that can result in tooth loss if left untreated. Clinical evaluation and x-rays are currently used to diagnose and monitor the progression of the disease, but intraoral photos can provide additional information. We propose an automatic framework for patients' self-monitoring using a smartphone camera to calculate periodontal metrics such as teeth and gums length ratios. We tested the framework on a small sample size to evaluate its robustness and efficiency. Results are presented and discussed.

Periodontisis Evaluation through Automatic Teeth Detection and Segmentation from self-collected Smartphone Images

Rosini S.;Altamura S.;Pietropaoli D.;Placidi G.;Polsinelli M.
2023-01-01

Abstract

Periodontitis is a prevalent inflammatory disease that can result in tooth loss if left untreated. Clinical evaluation and x-rays are currently used to diagnose and monitor the progression of the disease, but intraoral photos can provide additional information. We propose an automatic framework for patients' self-monitoring using a smartphone camera to calculate periodontal metrics such as teeth and gums length ratios. We tested the framework on a small sample size to evaluate its robustness and efficiency. Results are presented and discussed.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/220699
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