2024
DOI: 10.3389/fdmed.2024.1479380
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Automating bone loss measurement on periapical radiographs for predicting the periodontitis stage and grade

Nazila Ameli,
Monica Prasad Gibson,
Ida Kornerup
et al.

Abstract: BackgroundThe aim of this study was to develop and evaluate an automated approach for segmenting bone loss (BL) on periapical (PA) radiographs and predicting the stage and grade of periodontitis.MethodsOne thousand PA radiographs obtained from 572 patients were utilized for training while a separate set of 1,582 images from 210 patients were used for testing. BL was segmented using a U-Net model, which was trained with augmented datasets to enhance generalizability. Apex detection was performed using YOLO-v9, … Show more

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