A high-precision framework for teeth instance segmentation in panoramic radiographs

IF 3.7 2区工程技术 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Displays Pub Date : 2025-04-30 DOI:10.1016/j.displa.2025.103064

Yanning Ma , Zhiyuan Qu , Xulin Liu , Jiaman Lin , Zuolin Jin

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引用次数: 0

Abstract

Panoramic radiography plays a vital role in dental diagnosis and treatment, characterized by low radiation exposure, cost-effectiveness, and high accessibility, rendering it suitable for initial screening of oral diseases. However, inexperienced dentists may find it challenging to accurately interpret the information presented in panoramic images regarding the teeth, jaw bone, and maxillary sinus, which can result in missed diagnoses or misdiagnoses. This study proposed a deep learning-based framework for segmenting teeth and alveolar bone from panoramic radiographs and also provided examples of its application for disease diagnosis. This study incorporated relevant medical knowledge when designing algorithms, including graphic optimization algorithms and medical optimization algorithms. The experimental results indicated that the proposed segmentation method was very accurate in segmenting teeth and alveolar bone. The proposed method also improved the accuracy of disease diagnosis in panoramic radiographs, further demonstrating the clinical value of the method for segmenting teeth and alveolar bone.

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全景x线照片中牙齿实例分割的高精度框架

全景放射摄影在口腔诊断和治疗中发挥着至关重要的作用，其特点是辐射暴露低、成本效益高、可及性高，适合用于口腔疾病的初步筛查。然而，缺乏经验的牙医可能会发现，准确地解释关于牙齿、颌骨和上颌窦的全景图像所呈现的信息是具有挑战性的，这可能导致漏诊或误诊。本研究提出了一种基于深度学习的全景x线片牙齿和牙槽骨分割框架，并提供了其在疾病诊断中的应用实例。本研究在设计算法时结合了相关的医学知识，包括图形优化算法和医学优化算法。实验结果表明，该方法对牙齿和牙槽骨的分割精度较高。该方法还提高了全景x线片疾病诊断的准确性，进一步证明了该方法在牙槽骨分割中的临床应用价值。

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来源期刊

Displays 工程技术-工程：电子与电气

CiteScore

4.60

自引率

25.60%

发文量

138

审稿时长

92 days

期刊介绍： Displays is the international journal covering the research and development of display technology, its effective presentation and perception of information, and applications and systems including display-human interface. Technical papers on practical developments in Displays technology provide an effective channel to promote greater understanding and cross-fertilization across the diverse disciplines of the Displays community. Original research papers solving ergonomics issues at the display-human interface advance effective presentation of information. Tutorial papers covering fundamentals intended for display technologies and human factor engineers new to the field will also occasionally featured.