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Assessment of Elapsed Time Between Dental Radiographs Using Siamese Network

2025-03-04

Abstract excerpt

Recently, machine learning methods have emerged to predict dental disease progression, often relying on costly annotated datasets and frequently exhibiting low generalization performance. This study evaluates the application of Siamese networks for detecting subtle changes in longitudinal dental x-rays and predicting the time span category between dental treatments using periapical radiographs and patient demograp...

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Literature Corpus work
de198bd7-e249-57e1-bde2-c80ec3dfe086
DOI
10.1101/2025.03.04.25323305
Open publication

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Assessment of Elapsed Time Between Dental Radiographs Using Siamese NetworkDOI 10.1101/2025.03.04.25323305
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